{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# End-to-end Walkthrough of SPTAG \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following notebook is a guide on how to run SPTAG on your custom vector dataset. \n",
    "\n",
    "## Table of Contents\n",
    "1. Example 1 - Using randomly generated vectors\n",
    "2. Example 2 - Using the Caltech 101 Image Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the following walkthrough, it is assumed that SPTAG is installed.\n",
    "\n",
    "First of all, let's install the required pip modules for this walkthrough example. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "\n",
    "# Install pip packages in the current Jupyter kernel\n",
    "!{sys.executable} -m pip install -r requirements.txt\n",
    "\n",
    "# IF you are using a GPU machine, uncomment and run the below\n",
    "# !{sys.executable} -m pip install tensorflow-gpu\n",
    "\n",
    "# If not, then uncomment and run the below\n",
    "# !{sys.executable} -m pip install tensorflow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we will import the required modules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import SPTAG\n",
    "\n",
    "import numpy as np\n",
    "from PIL import Image\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import imshow\n",
    "import time\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "SPTAG assumes the samples are represented as vectors. We need two vectors:\n",
    "- arr for the database, that contains all the vectors that must be indexed, and that we are going to search in. \n",
    "- xq for the query vectors, for which we need to find the nearest neighbors.\n",
    "\n",
    "In the first example, vectors will be drawn form a uniform distribution in d=2 dimensions. The second example uses images to create the vectors."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 1: Using Randomly Generated Vectors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generate Random Dataset and Query Vector"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a most basic example of how to run SPTAG over vectors, we will randomly generate the vectors and build the index using this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 2)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = 2                           # dimension\n",
    "nb = 100                      # dataset size\n",
    "nq = 1                     # nb of queries\n",
    "np.random.seed(1234)             # make reproducible\n",
    "\n",
    "randomData = np.random.random((nb, d)).astype('float32')\n",
    "randomData.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select a query vector to use for testing against our built index later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "xq = arr[1:2] # The query vector\n",
    "k = 5 # Number of results to return, in this case the 5 most similar results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define Functions for Building and Searching over Indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def testBuild(algo, distmethod, x, out):\n",
    "    '''\n",
    "    Build indices from vectors\n",
    "    \n",
    "    Parameters: \n",
    "           algo (str): Graph algorithm ('BKT' or 'KDT'). \n",
    "           distmethod (str): Distance comparison method. ('L2' or 'Cosine')\n",
    "           x (array): Vectors to index\n",
    "           out (str): Name of output directory to save index to\n",
    "    '''\n",
    "    i = SPTAG.AnnIndex(algo, 'Float', x.shape[1])\n",
    "    i.SetBuildParam(\"NumberOfThreads\", '4')\n",
    "    i.SetBuildParam(\"DistCalcMethod\", distmethod)\n",
    "    ret = i.Build(x.tobytes(), x.shape[0])\n",
    "    i.Save(out)\n",
    "\n",
    "def testSearch(index, q, k):\n",
    "    '''\n",
    "    Search over the index\n",
    "    \n",
    "    Parameters:\n",
    "           index (str): Name of index directory \n",
    "           q (array): Query vector\n",
    "           k (int): Number of nearest neighbors\n",
    "    '''\n",
    "    j = SPTAG.AnnIndex.Load(index)\n",
    "    for t in range(q.shape[0]):\n",
    "        result = []\n",
    "        result.append(j.Search(q[t].tobytes(), k))\n",
    "    return result\n",
    "\n",
    "def Test(algo, distmethod):\n",
    "    '''\n",
    "    Build and search  \n",
    "    Parameters: \n",
    "           algo (str): Graph algorithm ('BKT' or 'KDT') - see Parameters.md for more info\n",
    "           distmethod (str): Distance comparison method. ('L2' or 'Cosine') \n",
    "    '''\n",
    "    testBuild(algo, distmethod, arr, 'testindices')\n",
    "    result = testSearch('testindices', xq, k)\n",
    "    print('Top ' + str(len(result[0][0])) + ' results:')\n",
    "    print('Ids - ')\n",
    "    print (result[0][0]) # print ids\n",
    "    print('Distances - ')\n",
    "    print (result[0][1]) # print distances"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build the Index and Perform the Search"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Top 5 results:\n",
      "Ids - \n",
      "[1, 13, 88, 93, 48]\n",
      "Distances - \n",
      "[0.0, 0.0016536564799025655, 0.005463525652885437, 0.008533643558621407, 0.010976185090839863]\n"
     ]
    }
   ],
   "source": [
    "Test('BKT', 'L2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example 2: Using Caltech 101 Public Image Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download Data\n",
    "\n",
    "We used the Caltech 101 dataset(http://www.vision.caltech.edu/Image_Datasets/Caltech101), which containing pictures belonging to 101 categories. There are about 40 to 800 images per category, and most categories have about 50 images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100  125M  100  125M    0     0  4607k      0  0:00:27  0:00:27 --:--:-- 3782k\n"
     ]
    }
   ],
   "source": [
    "! curl -O http://www.vision.caltech.edu/Image_Datasets/Caltech101/101_ObjectCategories.tar.gz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Unzip the data\n",
    "! tar xvzf 101_ObjectCategories.tar.gz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load Helper Script"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The features_extractor.py script contains several helper methods to help us with converting images to embeddings, using featurizers such as Resnet50. We will load it in."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "%run features_extractor.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load Data into Notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 9144 files using pattern: 101_ObjectCategories//**//*.*\n"
     ]
    }
   ],
   "source": [
    "# Get the list of filenames from the Caltech101 dataset\n",
    "filenames = get_filenames(\"101_ObjectCategories//**//*.*\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Resize the images to the target size, and load it in as a numpy array."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "imgs_np = get_images(filenames, target_size=(200,200), color='RGB', bg_clr=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9144, 200, 200, 3)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imgs_np.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display an example image from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f7e8c249630>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.imshow(imgs_np[300])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Generate Features from Images in Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the below code block if you are not using a GPU-based machine. It will take a subset of the data so that the feature extraction process will be faster. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If you are not using a GPU machine, run the below line to take a subset of the data. \n",
    "imgs_np = imgs_np[:1000]\n",
    "imgs_np.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Extract features from the images, using a pretrained model. \n",
    "Possible values for the pretrained_model parameter are 'resnet50', 'inception_v3' and 'vgg19'. The output of the below function is the embeddings (vectors) generated from the images. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input images shape:  (9144, 64, 64, 3)\n",
      "Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.1/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "80142336/80134624 [==============================] - 2s 0us/step\n",
      "Features shape:  (9144, 512)\n"
     ]
    }
   ],
   "source": [
    "embeddings = extract_features(imgs_np, pretrained_model=\"vgg19\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Show the embedding of the first image in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.        , 1.4380319 , 0.        , ..., 1.0015441 , 0.41706264,\n",
       "       4.840535  ], dtype=float32)"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "embeddings[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save and Load Embeddings to/from .npy file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Saving embeddings into a .npy file will help to load the prepared data back in much quicker when needed. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save('caltech101_np_4096d.npy', embeddings) # Save the embeddings to .npy\n",
    "np.save('caltech101_np_4096d_filenames.npy', filenames) # Save the filenames to .npy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = np.load('caltech101_np_4096d.npy') # Load in the saved embeddings into the notebook\n",
    "filenames = np.load('caltech101_np_4096d_filenames.npy') # Load in the saved filenames into the notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Prepare the full array of embeddings we will be indexing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(9144, 512)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xb = arr.astype('float32') # embeddings dataset\n",
    "xb.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select a Query Vector"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select an embedding in the dataset - this embedding will be the test embedding that we will run the similarity search again later on. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 512)"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xq = xb[3:4] # The 3rd image in the dataset will be selected\n",
    "xq.shape "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build the Index using SPTAG"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we will build the index using SPTAG, with the embeddings you generated using the Caltech101 images. The testBuild method will also save the built index so that it can be reused later. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 21min 14s, sys: 1.76 s, total: 21min 16s\n",
      "Wall time: 11min 3s\n"
     ]
    }
   ],
   "source": [
    "algo = 'KDT' # or BKT\n",
    "distmethod = 'L2'\n",
    "%time testBuild(algo, distmethod, xb, 'sptag_indice')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Query for k Most Similar Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform a similarity search against the query vector which we picked earlier. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 18.5 ms, sys: 3.99 ms, total: 22.5 ms\n",
      "Wall time: 22.5 ms\n",
      "[3, 3830, 6784, 6763, 6752]\n",
      "[0.0, 28712.98046875, 28897.927734375, 31872.806640625, 33766.98046875]\n"
     ]
    }
   ],
   "source": [
    "# Number of results to return, in this case the 5 most similar results\n",
    "k = 5 \n",
    "\n",
    "# query sptag index, using the same method we defined earlier\n",
    "%time search_result = testSearch('sptag_indice', xq, k)\n",
    "\n",
    "print(search_result[0][0]) # index\n",
    "print(search_result[0][1]) # distance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize Search Results - k Most Similar Images"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display the results of the image similarity search performed above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "([3, 3830, 6784, 6763, 6752], [0.0, 28712.98046875, 28897.927734375, 31872.806640625, 33766.98046875], [<NULL>, <NULL>, <NULL>, <NULL>, <NULL>])\n",
      "image index : 3\n",
      "image distance : 0.0\n",
      "image file : 101_ObjectCategories/umbrella/image_0030.jpg\n",
      "image index : 3830\n",
      "image distance : 28712.98046875\n",
      "image file : 101_ObjectCategories/dragonfly/image_0036.jpg\n",
      "image index : 6784\n",
      "image distance : 28897.927734375\n",
      "image file : 101_ObjectCategories/brain/image_0048.jpg\n",
      "image index : 6763\n",
      "image distance : 31872.806640625\n",
      "image file : 101_ObjectCategories/brain/image_0007.jpg\n",
      "image index : 6752\n",
      "image distance : 33766.98046875\n",
      "image file : 101_ObjectCategories/brain/image_0001.jpg\n"
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bway1phdptnd3WD69xu5swubZ0xgFw+EQbC1KF9IFjJTs7+/T7/eBWkRnowmzyZRsd59IaWJfJz94eSCKtdZUc1EMICPditiEGweHHCecu3FyXR9yE8nWiN7ugJCmOc8YQ5ZlbcPdeDxmtDc+lIJxK6vHoVIcCAQCgduFUDYK3Eo+CPz2/PvfBv7Tl1pBAP1+n+XlZRYWh5w7d44zZ85gvcPisc5R2YPKbLfZrckHbvDek2VZbVlwnl6a0uv18MZSzDImkwlVVWGdYzQaUVVVLSTn6587d47V1VWMtZRlSTFPgPCmFquNFUJ3bA/SH+z7OI5Gxx0VrEfFc/NY107RXe7oJL2m+bA7cS9cGAcCgUAgEERx4I3DA38shPiCEOLJ+WOb3vvLAPOvG8etKIR4UgjxeSHE58uiZGv7OnlZcOnKFfanY87eezf3P/wQK+trGC1wWoLziPnUuzZ5oqqQQKQUkZAoD0vDZZaHi0z3RgyTlLvW1xkmCVpAmddT6IyrRW+v10M2CRFAUZWk/R6rm6dI+j28lqh+SpqmpFGMFhJXGYTzaKWQQoD3SFffjn2SOqK3sXTMn4MbRHLXWtHEsXUTLowxRFFEmqbt4BEpJQsLCzckYgQCgUAgcKcTItkCbxTv895fEkJsAJ8WQnzj5a7ovf8E8Amo7RPe101x0ntGkwkzOeP02TMAbG9dB3VgDZivj6QWj0rIQ1XSbDqlmGVY6UiUZJCkSOeJ45gsrgeBWPyhwRiNLWJrZ5tB2iPt98mmMxyeJI7wRdn6kRshqpmPpgZAIMXx16Ndi8TRxxrLQ/fn3bi2o5Xi7vrdhIs0Tamqqm1EvN2a7wKBQCAQuBUEURx4Q/DeX5p/vSaE+D3gceCqEOKM9/6yEOIMcO1lbIgoSdoGt8yU9OKEzFYMVpewsWJmKpLo4NT21uG8J1L16Gecx3uHEoI4jpmMPP1+jJrlMJlw1/IyyaBPHMfsTWZs7+zhK0OVF6g4wlM3xSVJQuksi6vLDIYLXD5/gfF0Sq+0bfKDlgeDOXAeKUVb/TX+xszgbrW327DXeR4xxrSZys2o6LIs2+bBrsA1xrQ2jmg+7c94y9LSElmWMRqNXtHfMRAIBAKBNyvBPhG46QghBkKIYfM98KPAV4HfBz48X+zDwL95qW1Z55DU6RJZllFVFVEvZZzP2J9OePjtb2Pt7CZECqcEpTUIJUGrNiWiGZ9cV5wlcZpQzTL6UnF2uMzowkWuP/0cZjKDuQBV1iMdUFlcWeGcI8sy8jxnZX2Nh97yMBtnz5D2+6g4IisLyrIEKVqxKufNcd57Iqla33EjfLujoZsKbiOum2WainBT5e029OV5ThzHJJ2hIs3UvaYxr+sxHgwGrK2tEccxcNCcFwgEAoHAnUioFAfeCDaB35sLPg38H977/1sI8TngXwshfg54HvjPX3JL3uOMRcgDS8HW1haLwyEA/YUB1lr2L12pxWwMjWnBe1GnEUuB9HWEW2kqrPdESkFVYWYz1gYLjIuCwhjKWcaoMohZiVKKuN9DRRqtFMncq7u7u8t0NKaqKvoLA8Z7I3QUEWldN+DlGb0khY7gNd7dkCbRFcTN1+7jjSBuJvN1h5N0B3g06x6NnWsqxR4OVZ+7DXfBRhEIBAKBO5UgigM3He/908A7j3l8G/jAK9mWFILIC5zxlM5Q+AyUbKfWZVmGUJLB+gqmrKiyDG8dCoFDYIxDSUkSRZiyInMOGUVE0uPznGz7Og+dPs03n34alfbxqWL1zBrTK9cwxlA6C9ZTjKbsbe/Q7/exRV21XVwYsrq6SjEc8sxTT1Pi0GmC0hqEQDgPzmGsxc0ruV2vcDcmraGpIHdFr3OOqqpI05SiKHDOEccxSqlDFgpjDGmaHqpEA2gZtcs16zXbaQg+40AgEAjcaQRRHDhRCObikjpdwjoHzjGbzYB6lHMkFYPlRbCOXt5nOp6Qz2ZIqXG1FRkHczuFQjoQTiAROGvpqYhBlDCezPBCoTykOqLwUJYGYR06UvSSlEhpJHUaxWw2oypKTq0sY/DYsmTQ66OTGFtWIAVeMPc0t113hziuWttUhZsx0E00XDO9Dmg9xt0x0XC4Sa9bcW6W0fNJfUmSkGXZoXWCKA4EAoHAnUQY3hE4UaS9nr/74YdACGyscBKk1hSuziBe6PVrMaegFyf0ej0W0h77u3ucf+ZZRGXbyrEQgiqKEdYwyGZsUHFmaYkPvP8HQUf87p/8f/j+kGcnU+5aXMZ6z6zMyaqSmSmJBz0ctINAknkDoIokpqqYjSdMRmOUEEhX2xT8PKKtGdV8VKweHarRJF4cTaVohno022kGkhy1T7RDQ+bxbt57vD0Qxo2wttays7NDWZbtNruV45tFGN4RCAQCgduF0FUTOFEcEoe2zuItyxJX1Q1kjVCc5RnXd3fY399nOBxy9uzZeXW2rtY2gs/isXgQtbCcTqfk0xn9JEU4TxJr/Hx4R5FlaK1J52K7LMu2iuu9J89zsizDOcfi4iK9hUE7utkLDvYvBU7cOJ75hTy9TTW46w1uHmuoqqrdDhw0zTWV4Gb5Rjw3YrwR1M02uyI9EAgEAoE7iSCKAycKJUFUUxQlgyRmpb+EsgJtJT0n8VmOnc5AKKI4JasM337mWa5u7/D2d74LKySVBx9FGARyOkUXlooeIwZcywVXR/tcvX6ZWObsXbuA8oaZg4lxjCYzqsqiHcSAdhbfJEjgqbxlzxus1iytrrE4WEQ6ibYSXzqUiiidxwqJlgqJQHiQCLRU7a15PFK6reY28WvdFIkmci2O4xsa85rqcDdxA8B7CziE8EhZ3y/LnI2NdU6f3kApUf+c2uEhEe33NxD0cyAQCATeJAT7ROBEsbw09G954B6yoiTz4KKEKE0oSoMTbi7yPKKXkuc5EsFwOCSJIpaGi1RFyf7OLufPn0dKydAL8BIsxEVGIiwPnxpy373nuDYe8cyVLXZEilFJewxK1dXevCyIoogojjHetc1yVaJYHA5JkoR+lCA8XHj2OWajMYM4xZQVSRRRZLUPuqnONpXb5mu9L4XrDA/p2iKUUodyiBu60++AVgw3Irlb3W5uzcS7xq4xmUyosgrrLEoqjLM35e8Z7BOBQCAQuF0IleLAicJbyzBJiAT044hEKxR1ZRPr2tzfZoyzBMQ8xm08HtPr9dg4cxoZ6RuGZwgdIVXEJMvIy4K1tTWWhkMW0hQhPOAQem5/cA7RXE96j7CuvVEaRrt7XL9+ndxWyF7M4uoKqlfnB0dCYitzSOgeN3K5K1jhwD6htW6j2ODAKtFtqDsa99Ys14jpblSbUqodBa2UYjAYsLS0VFs+oBXlgUAgEAi8mQmiOHCiSHSEznOWtcaNZ5jpFMoS5QFvD8YwW0iFJvYSk5dURcl4PGaWZ8hY89Ajb2F1Yx2NRIo6PcIqhdOK6+MxTz33PGfPnuUt999PT3iiGKJY0B/EJEmEcZY07SNR2LxEVo7YOnRlGAhNL0pQSjEuc7azCcPT65y5925mVUGkNBhLlMSoSLepFM1NKNneHLXy7grdrohuhKzWGp3EyEgjI42XAotHRvXjOonr6Dp87WeWovaiKImXgsJU7XqVs+gkZri0SNJL68QMKXhhD0UgEAgEAiefEMkWOFForXBlwdLyClPrGS4ssjebHFRDAY9FunqCnPMebyy1S8gzzWYYZxkuLbE/HmPFCEEtSitn0UKQpjGlswyHAyyC/vOX2DUFXkKsNBUHcWZVVeGsQ6raB+ydwxUVup8iI8msLJiWOf0kRadJmw0svMfKGxvrutXdRvg21eKuN7jrFW6WF8fkHHcn1DXT9Ow85aI7tEMIQZwkOOcoyxIpJb3BAAfYTlXZO1cL4+C6CgQCgcCbjFApDpwoqrLg3e94O+Pd62ysLrG9dYVepMFZtJAkka4HdRiLciCcx82tBnEcU2R5nTCR52xubmKcravEWpJLwUwJTJpwaX+XaTZjf38Xl2ekyhN5S55NKPMpSkimkwxrPJGM6v15Ry/SeO8p85xiluGNBeeZzWYIrbjrgfvYmY3ZLzLyqqRyFpRERhqUxAkorakTMeb3u5PuGgEbRVFbKW7ErXWuvggApFLoKKq1qxAgBFIplNaoOMIJcIK2Wlw5S16VGO9QcQRKonsJq5unGAwXcM4em4wRCseBQCAQeLMQRHHgRGGMQWr4wR/+AfZHe5w7c5rRaJ9YaZQEU5YkSlOaitJUrZ0C79nf2SWfZUzHE65evMTW5Su8/2/9EI889nb285zB5gZqacjV6ZjF0xt85i/+I0kS8T3vfgfLqSZ2FcV4H5eXCOcPxiZL0WYUl2VBRd10p7ygryKGOkFUFlOUDFaW6G2sYvtRG5nWTKI76gfu+ngPTaTTx3/A0x3K0Yjlo48ppVCRxguwvk7MQIrWxtHcl1oRJTHWOzbOnSEe9Of2iVpgt8cYZHEgEAgE3iQEURw4UVTW0BukpP2EhcUBpalYWlqq7QTMp9J17QFKHkpsiKRCCYkzFlNW7E/28VKQDgeMi4wS0GlKYQ3Xd69zfXeHoihItSZWklgqIj3P8pUSmHt8BXjqgReGg1QH5UB5cNaC9xjvSJcWcIluK7wv1sR2tEr8YssfFdRHp9K1j8/9ykhx6Hb0MWMtcp5WsbGxweLKyuH9BQtFIBAIBN5EBFEcOFEIKfirr36J3dEum2c3iWNd5+4KV6coxAnKCwpr8Eqiowgxz/aNtCbPMrLxpG50E5Knn38OJ+Bdj7+X/fGYrf0dxlXOhes7ZGXBZz//l6S9hJXBgLWFIYMkIZpnCTvnai+yNWRFQWUtSI/T8wptZSAr8VlJOZ5x5fxFdscjHnvivXz4v/n5OsrNWoSUIASVMW0ltnvrVnpfNAWi0zhnqQV4c78ZGOJEvZ0oikiSBK0PxHmThdwMQEFJVFxbMFbWVjl1evNwlfhINTsQCAQCgZNMEMWBE4V3np2dHS5dvsypU6ewePr9Pg899BDnzp1jPB6TZRmz2QxjTDsOWc+tDl3h51w9EW93d5csy4gXFpBJTG9hwD33nMHiSdOUs2fPEilNpHXdTGcPosyahjeYi1atQIq2Oc25OiquyLJ581qf584/z+VrV9tGuW41+Njf+UiF+IWW6zbVNcsdFa/ee1y9cHtrmum8EO3NcWDT0Fq3o6ZvJUKIHxNCfFMI8R0hxC/e0oMJBAInnvCaEjjKTRneIYT4MeA3AAX8C+/9r77uOwnckfTT1L/l3CkSJXj8PW8l0vDU08+ymxmsSLm8b7jrvgd4/vpzuMoRRQnegjOWSGqkFHgs1hZ45fHLa1RVxcraOv004fLFS4y3rrLS6xPPxpjJlLfec47HHj6NkJpnLu9w8coWe4UkI8JLRSnA4RCqFqZWuoMJc/Oqq48VBo/up6yf2SRJU/ILe1y+eAmXlyRKoR1gDVJKSl/V1WYp0LYeqiG0AuZ2EO8RQtXRatSC2YqyfZ4a+SqEQInDYlnJ+CBNQjRfPULWgrkR0drHB8191PaTYW/I3u4uT33jaQDiKKU0s8M77eKph6Mg56EV5vCPX+bwDiGEAr4F/G3gAvA54EPe+795OesHAoFAl/CaEjiO171SPD/R/jfg7wKPAh8SQjz6eu8ncGdSD5OQTPKMq1vbrKys8MADD6AQrC4uolzF1qULRPMBFVoJTFlRllVrKTDe4aVCyQg99xjbsqorub0eVVWRlwX7kzEOz3eefqodcKEFaCmJY324CiskXii8UG1DmxACW1UHFWvqtIg0TRkuLLC8tsri8hLGVDjqqLR2m/NrVeE8TkickHg/9y9zvH8Y79vbcf7jdoKdrBDagjIIbZGRQyoHCqSqvxfS4jB4Yec3D3icr4gSTW8xBeVqQex54RsAjnoEyOFhKa+Qx4HveO+f9t6XwL8CPvhaNhgIBO5owmtK4AZuRk5xe6IBCCGaEy1cfQVeM24+wlkqy3MXLnL3uU1Ora/ztocqLl64ymP3nOHa1jbXKhBVBUnaRpdV1qCUAgRRFKPjiCwviKOIPJvhrGFjbZ3Z9g77168yjBOSJCGxfba3t1lcXCabTVheWiCxmunVHZxIiJMexntK56k8UFX0+/3WzhBFETpJSVznq3oAACAASURBVAd94oU+vjRMR2O01GycO814fx9TVlQmZxCntT9aCISvJ/UZpXHe4zioCgtRNxUKPxe+HrSdN8lRJ2LUgli01WQ7V6k+yW7wKStU51muf2ZFXj/nrq7zeiGppCRa0Gzcvcb+vmZ/f4wY685qtc/a+85YaFE/3tn0q+EccL5z/wLwxKveWiAQuNMJrymBG7gZojicaIGbhlCKSVGQxgm74yl/+uef5fH3vJv7z51jbbDIV770FR45u8HuhSsoraimY/rpIh6JESBk3ZhnrMUWFVILSmPp9/usDJdxxnL27FnObW5w7fyz7I72SRX81Ze+zPve9z5+8Pvfx19/5atMr+6y2IsoPewWGQaB6g+JtSZSmuXFJYSokzD6/T674xHZZEpRljhdN/71+4tIBOvnNsjGE/I9SVWW4CUSX4dASE2hZF0xngtZhcR5i0egOBjyoYXEdxImnBQYZ+fT6ARSzdMuFkw9mtp5QIIHL9XBfddUlJuBHeBQCCHZyWZorRlurtE/tcTom9+EyTyYrR59h/Ie0wjwRgw30/A6WvmV/umPeeyQxBZCPAk8Ob/73a96TzeZo6kggZfFde/9qZezYLDvBV4mb5rXlMCr4tjXlJshil/yRIObdbKFUVu3CS/7DeyVIgTklSGKNTpOyKqMz37+izzyD/4zMJa7z2xw9coVIm/xWmBKixIWJyW2sihRV069n6c7OIuSElOUXL+2hVKKh+67D2dKvvpXn+fcmTNsX7nIRiy5srVF2h+yvrrGaFYgYs/MOGazCoSiN+gRJz2KbJssy6iqiul0Sq/XY1YWIAXLp9YQ1I14eVkSKcXa2ioSwej6dTQHPt+6glv/OzkBuHlTnnC1kPUeO19WeYGvQyxqnVvbeLHO1YJYCqSqJ/fJKMZbh5e+nvTnwQmFwM+fFw+CVoQ7QCCRKAZLy1RVxSTP0FqzunmK7avXakvH3DeMB4kE3IEGfu09eheAuzv37wIudRfw3n8C+MT8ufNHGw/fKI5aVpqvam7pafzcTY70C6V4dEd6d+8f3QfUTZ/W2hsmIb5ZcM4993KW69j3Wp+oEOL3g080cAyv+DXljTu018ab7f//JnHsa8rNEMUveaLBazzZ6lm+CN+YoiUOiX+RUpR4AT9j2+bju8uCF/Wb+g1v5u4F3mjlq/BLviaL5cvlhYTBTd35y3oDezVYY5EqIisMEZpYply+vsVv/c4neeytD3P3+hrD9C7M1ohxljOVkqt726heH4tGKAFGILxHaUGkojqFoqwQyiOU47nnnkMpxSPveAdXr15GDAfs7+3wzacv8rZH34EzlsU0Js9HrA767OUZSZpwbXsLHadE2pDPMoTzxFrjjUV5EAjy8ZR40COWCq8FAs/e/j4qlkSDHm6WYbxHKI/yUJoSVAJAlNZT7KytUFqCtWit6wY55w6Gesg6Ts1JgbZ+nj8s64EdxpCkfaAe9lFVFXiIk4Sqsq0f2TmHErXYMpUAr5jNStLhAs4UGFMyK3OWz60zunCV5eVltq/uY6cG5+VcFEsErhXer5HPAQ8LIe4HLgI/DfzMa97qTeCoKG485o1o1Vq3f6+qqtBa3zCeu6FJOBFCUBTFQf61Uof2Z4whjuN2e8aYQ2kkjRC/Awj2vcDL5cS8prxS0jSlqqo24cgYc+xyQTjfyM0opbQnmhAipj7Rfv/13EHzniOBJB1ACj410K8Q2tUCVTpk5FBx/dWjUSpFyoQo6hNFfYSIwffA91AMUPTQ9Ijo0RPLaD9EuQHaLaDcAOUGJMRE6PZrhEajiFxM7BNS0acnByiXtDftImKXkLiU2CVELiZy8TG/18HY3u743uOfgxfPiW22VQsThUDNn7H61t3HcU1bt3MWrUQgUDgvKR08+La3M5plXLm2xebp0zzyyCOU4z20t6QKlDeUswmxAlMWVGUx9wR4emlKpDU4jxYSrGM6nbG7u8vG2XPcff8DVEKg0z5ZadnbH2O9o5/GlLMxtsgQtsSVOamWKOHqeqmt49iqsqQsCoTzCA9aKnpxwiBJySZTZrMZStcT8e65/552gEbTeOcFKDyRFMRaopRASE8UaWSiIPLU3X8Crz1WO6y0eO1RscALS+VKKlcgI8FgsY8xpo1Y6w8X6C8NKX1FKUqMMsieQA8UIrLkNiMaKJKFHisby4yyfUpXEQ8TRCopRck7vve7WD23jC0NaqGudDcS7OC8e2147w3wj4E/Ar4O/Gvv/dde84ZfR5r/pX6/z5/8yZ+0b0TGGFZWVuoLDGOoqqqNBGzE7k/+5E+yvLyMUoq1tTWcc3zqU59iaWmpjguMY6y13HXXXfR6vVZcLy0tUVVVPcK8KHDOUZYlw+Gw/Tu/0Bvim5Tj7Hvnji4khHhSCPH5+c2/aW5SeCGlF+KFbsLLY9d9qZ+fnNvLPVFOwmvKq6XX66G1ZnFxkcFg0F5Mb25uMhwOD0WBLi4uAgcX83FcaxOlFL1e79b8AreQ171S7L03QojmRFPAb73uJ5pvPuGNIIFH3/k21h5ZYFTsslAt8Oyzz6KUIssyJpMJzsFs32CFIUkUVVVgc+piqQUqsG5+tPUcCNJlgS8M+bRs9wkSJ5uMWoGpPELW3zcC1vkK7wQWSyMGEhnPY7QcHt+OxpX6oNrjnJs37PsXnBTWFacvJlQPBHEtStqrQX94mfbpPEFXixKIZT1QovIeK+Dq3oz+8gZ//a1L3Hv3d7jrzAY/8M7v4mtPPcUoLzizusilnT1iCWVZYD1oIvARNs8RzqG9oMpri4NXEus9u+MJutdj7dxZ5OVdqiLnj//9n/G2B+/lux97K9vXr1L5ilNLPcalwwtNYSusqy82lDzw50qlcM5TzG0VSEEp6sl7mZJM7Ji1lSX6KwuMdvaIBeh+DJUlVvM5HtT2D9XXCC3wgNTzbGHnyLypq8VSgvJ4YZlOJ/QGfaQUWHKUcCyvLHL69GlW1tdYO7VMZUssjtxmVLZkb7RHlmWUe9cwlWPQX+LylV3S/pB0bQHjLM4XLC5p3v9D38dPvP/9vPXeR5jszPiBx3+IaWbBeGr3s0YIsK6a/wWrF/zbvhTe+z8E/vA1n0Q3geZ/rixLPvjBD/Lxj38cgCRJmM1mzGYzPvWpT/GZz3yG7//+7+eP/uiP+OhHP8qTTz7J3t4ep06dYjabURQFv/Zrv8aTTz7Jo48+yq//+q/zkY98hCeffJKPf/zjFEXBhz70IT72sY/xoz/6o2xvbwNQFAUA3/u938vnPvc5PvrRj/JTP/VT/NIv/RJ/9md/dsuel1vAy7LvndSPxV+QKKk/8bEOjaBSkso7SGJkadBW1m9sWlJWM/q9iJmyqNyRCIl3AiOhkg5ZRvM88/mnrpJ63VffD3Dbcju/prwatNb0+312dnZa4dt82mStbV9jpJQsLS0xGo0YjUbtEKeyLCnLkrW1Nbz3TCaTW/0rveHcDPvETT/Ral2qkUIxq6Z85dtf43sefxAXzxipfe56bImyLIGYKFpnNBqRzzIefPBBiqJgZ2eH5eVlyrLE7DoipUikpsxylAPhPVVWkCR9rJH0e8uYSuCsZGmw2laEasHtKIqC/a1dTGWZzXKMcWxf38UYR1UB3mKNwRp/0GzkQJbRwe80/5jDe498gZfooyN7X4yDdAHVDpEQnbzaQ+kAJwxbmTpeDYFA8PzFyyxpx/L6Ik89+xxRrPju++9l4XxEVhT00ojlhR5TV6KVqC251uExTEaj+u+pEoSU9fQ76sSIre3rLCwtcObue3jq68+xOBigY8fzFy/xjofvI9GK6WhM3FtECYewFmEtKum1z28zICRWsrYmWIcVFuEEKpIoITHG4JyhspYoSVCRxmFAClSk0ULWolY6hJLIpPYPg0REEhQIF+Hm71tCeBB1FfLM3WcBqKqKKIpYXl7mwbfey30P3Mv65gYbp9dxWKJhQmGnlK4WxZPZDL97HaU0eeb4y89+mems4OrWNmma8ujb38LGxjo/8cEf40y6yNXsEl/90teZFhbRAzmlTs/wci5JNG+QX+iW0FpO5laHT3/60/T7fRYXF3HOMZlMeOKJJ1hdXeVP//RP+dmf/VkeeeQR3vOe9xDHMefPnydNU2azGe985zspioLPfvazfOQjH2FhYYHv+77voygKhsMhv/mbv8lnPvMZPvWpT/ETP/ETrX9wfX2dra0tjDFMp1MuXbrE5cuX6fV6rWi+A3hZ9r03HVWPKNFUZo/BMKEqJvTSFJ1GJPmEKIfdCh74nsd4y3se4YHTm9x31xrP//nX+Jv/8EW+9tWnuW6hSsF6h9Ia5cHaChwofaCJG4EVuL1oYkMfeeQRvvCFL7SvC5/85Cf5hV/4BfI851vf+haPPvooW1tb/MiP/AhpmvIHf/AHjEYjPvnJT/LjP/7j/PIv/zK/8iu/wqlTp05Uwez14qYM73jFB/EKr9SlqN9epU+JSSl7I374F9+JOF2wd+Ua1jqKvCLPDdY4HnzwQbb3tijLEikla2trjEYjyrLE5w6kQMcx3lqUg2KW0VeaJEkpjUMIhbH1VZdLHcLPhY5WSCGoqgpT1d7BWNT+TysdUU8zyvZJiwE6khhTzrNwE/r9PnocYUoLFpQTVIUhnxXsVZ48zymLjNEox5RQFGBmwIRWVKNA9MCPY9AayhLiGLKs/qo1zLL5kyahqoUWdt4W5QXKQywUpavzAlQssGWfHgMsV+n1UsbZEiVXX8mfKPfe9+Z/21Xg/wTuA54F/oH3flfUqv43gL8HzICPeO+/+FIb7iWpP3f6HJUHpxUq1oz2rrMxTDHZmEVRMd2b8j/+ww9xbX/Et5+/wDevXScaLvPUletE/SWsh2JWzK0h9UfaSiYkgwHTPEMkCTqNGBVTBsM+7/ied3D5P3yNa5fOo2Z7rA9T3vu2+9k4tcQ3vvVt1NpptscZT23tYaynv3EWbyxaqTpqraqro9Y7DLXHVwhBb2kISjIrM6IoYnF5CV+VVFnO3rUthHEMFxZIhSZJI4gE1jmMskzLGVYaZBrVF1TSkSwutOJnZXGJ1dVVNtZP8cQTT3DuzBk2NzdZWFigsHtYV5GXOVf3rlLakkqWjIp9SltiRYX3jo1I0+sNKHLH2trd5KVjcWmZ8XjEte3L7E/2KKsJkZDk44K1eIOdiyN++b/7J6hZAlZjK4nH4+efmnhGh/6eL3d4xytF3MJGO6grNt2piWmakud59/iI47i+MI/EQS2zrBBKk8YxWVXOM7RLSASjrGRRR/QsmHRIf2HAbDbDVqYu5nnoxxZbVigvUF7S0zFVWXJN6noAi59fMHmHBOzt5Yx6QZxzX/Dev/ellhNCaOqBDB+g9ol+DviZF/u08navFL+8AsgCKAdyxt/54Pdx18Yii2mfREb84EP3YrcKnisd/9eX/4IvnP86f/8DP8y771tn//PPkT+7gxbL/OHnP8+XxmPQERgL3qGoL2cFkHN8A1e3oHM7cDNfU27Gdl9vNjY2yFXFlUtXUSgSrRksDCmzksrnrK2tkmUZ/8XPfZTcW/73//U3eXj9LP/0X/4O73vf+/iHP//z/Nt/8/tUsxJvLNLNWuOlov78TyDZR1ELEU+TRX/COPY15USKYg0YAdLHpHJAlY5518/dx3Sww/33nqEsDOPxmMFgiV6vx/b1HYpy1jajpGmKUorNzU0GMuX85UtcunSJ9ZVVstkMOytYXV5mPB4D8z/7/J8+UvUVmXcOZyzO1W9IuYiJ1NwrbOvosDiNyMop450cKWFpaYmyyhHzBiZUhBAeay16XtG11pKqAUIIIqXJ87zdd4XGWUs89xOWviLqJayekkyn03qamrW1yJs34iynD1EUBdvb2ywvLzOdTtnd3cVkMaKy+NJw7epVpjNLUQIZEFOL7x6IAvxWxCv82Lsrin8N2PHe/6qox2iueO8/JoT4e8B/Sy2KnwB+w3v/ktF9cRz5e+6+qx7AoSTTvB6fjK1TfFNZD9W4j4r/5In3ksaSv/rSX3D52hZnH7iXKyNL6SNysUzpJLGeYq3FWouXAmsthXUkvRQvY4SSbJ45y2Cxxzf+5uv0rUfmBQ8NYp54+By2mPDFb3+TZHWDZ2aWSkgiNDNjqKyDNMF6gcFjvWtHTAMMkhQvBFYIkJJ4kBDHtQ/sK3/9RfCes2dP0xcx/YUFTt2zwXeee4pSV0xmIzbuWuGtj97PxsYpHnjwHs5ubLKyskLci5FCUVExmU0wvsJ7z87+Dru7u1ze/Toq0pRVxfXxPtYb+gsDovko7KqszzmhK6TUdZPd1GAqi5znGVtXYowhLybYs5rxzoTdp2f80Lt/GH1lgX/yj/5nMLA82GTv+g5plNS2JeEBU7/LujevKO4cR+sdPvo4gLWWqPMJjvMOJRXWWTQRkdD8wR/+W37mv/owl65eRHlYVjEzWw+jqS9vDyh1k1U9/1SKeTdyWSeDtENh5g+/2UQxwPy15Z9yYN/7n15i+Vv/JvgivNR5LIQglpYHv+tu/s5HfpC7H17mbB8WC4e9tI3/82foZylPyZRf/L1P8wv/7L+n2N7l3qWSpacLOJ/z/DMTrqmE/+X//WPyQQJFwaMPPsD3P/5eTg0GXH7mGf7wr7/BlStXDjV5NvtvPim5HfTEnSyKGxvXQtojz3OMPSxUF+KEvMz467/6Mo//wA8QpQl716+TAsSCvLRoJdFakxe1ddTW0f4HN6hfPHJOOse+ptwU+8Qbgq/9t9ZVeOPxOXihePbZZ+vGMiHo9Qa14IwUs6z+uCfLMvI8R2vNZDLB7MwgUiwPF1kcDtm7dp1Uakb7E6QSOGeJtEaI+p/eZgUqimpxGkXzqCqBp0ckIiIXY0vPztYO4/GYSVZhLCQpbMldFhcHrKwssbC0yI6bEMcaJz0zn4O29T7NBIEic47cl3WVTYDqpwhbUXrLXjkhXeox9hWF8RhVN9M46fCRR2tNmqZs62cwsYG+xS3Caq9HL1tg95plNppRTjPO3LdMutAHJRElLKyuspftcv/6WTb8Of75//C78Op7dT4I/ND8+98G/j3wsfnjv+PrV9G/EEIsCyHOeO8vv9jGBHW11DqL8wf/8GLuqy2rCq0U4zJne3+fB+47xyOPPMrm5jbXdnZZSBK29jNk3yC9pCzraXPWOpASqSOEK+eZZrX9YTaboVJYXl1hfPkqPSUZTydIpdibZZw6dYoLO7usb97HlZ0dpKorhcbVyQ5KKYytG/CUkESqFu5VVVFUFXE/JYoTjCmJEwnCcubsJru72+ztX0cvrRGLmPXNNVzqeejt9/OO9z7G6uYyKrb1R5zCYF3ObnGdcloxGu2xO9lHCMF4NkZFktFkzHQ6ZWERojgiSSKGup7wN55OiHHz89wiPezv7qNUhJIxZemwxtE2zVmDsRXTacbTXznPg/c9zNsfu4/Pfemz3Bs/zNve/118/Qtfp6ymICqKytKPU6Zl+XrEs932NKK3K4iPEwxaayJj20JxY3+p6y+SzBuWNk8znWbcvXkXF65cYlf5Oj1l3p3g5oVmKyGtonm9xmFFsy3f9kLUBwJtbp84cdWdl+S29Im+0DnvE6A4EBzzsegpDofG0se7qM4txwERjq26aqdWcLJPkVwjyyw/8vc/wN3nPPr6N3js1P1c+tJ5xK7k7uosV2cr/OX4i7z3J0/xlrszzKWCfpRgr22TjC2n1xKIBgyJyZ2BBP7rf/Q4T/+7v+DxB/4Wnyks5x59kCtXryCsxSnwSqJKjxMxLnKg5596GrBSglRgXn0PQeCV01yw5NMCj6Ane+SuQKuIwlZkpcES0VtZoyzr90AHZHGEKwsG/ZTZLKe0JUk/Iq8q4qqHmzdg2bkQ8F2BDB3X/jy16wRzIkWxn0c9IQzWS2xpufDVKzz2/rcx6l9ib2+Pfr/P+fPnEcKTpim9uEcURWxvb9fVQOo3KZ07lI+5euUy1y5fph8nmKqEqM6VqKOpJHiLsJ5CRCiVoJSiMrVlQnpJUqXsXtljfPkKMSlUgtj3WVUwcwXMah9vnlmubG1z2V+nt5mycXoNpSHWGmsNwjncfPaYFQLVAyHraWSiLNGivhjox5q1tSUGa0P2tnU7SvjixYtUVcW5c+fIJxVjruC9r8cXz0bY8W59NZmAHGSsnxqQpimFqShcgc8El2bfRA9iSu7in/+z30Wb16KJ2WyErvf+shBiY/74C3WJv7gonldzPR5rLLGq46wQYLynqgwCyPoJ//HLX2Z3NuKe5QW0kwxVjEYSry6w60qmxlEKjUBhtKM0FcY44qSHijRFVV9I2apkaydjY22d8fYuWZZzZTRiN89Z3TyN2N9jf1ZSmopzK2tc29ull9QT7fZmJV46oiTGCxBOIJ1HKYmIorqqG9f2ByKP8VO81AzXIqaF522PPsKHP/xhUJJTd68T9SJ0X6HRjNjl6UvfYTTaoywLXDJmNB3X54KAypY4AbNiSuxjxmbM1M1I91PiIsELwazMKY0hSmKyKsc7Q5XX0V+LK6sYY9jbmzGd5vXFpq8/KrWmxHuLVJrFdJ0Lz13huhyRDFIuFRc4/d3r3PPYB/h//uUfs3Cmx4pc4tKFKwj03Gfs3tSJ4sflCXe/bzKKvffkwqOj+jyujCXSEu8dpbOgYOGuNSpRcfXKBVDg+hGMJU5qEqUp8xyRRGDqWMHIg3eCFIVxJQKY1i9h/z97bx5t2VWWe//mXP1uT9/Uqf6kUpVKpScJ6QgQQkhQQt+GABeFi/ihgqh4QRSVRkT0Inw2wKefgDSiSCedgYT0Cekq1fenb3e/9+rmmvP+sU4VJeJQ5KpJ5BnjjBp7j1377LX2OnM9832f93lwHJs0zcNbDBnGfN/J5rFQ5XvC4l88tadpczXkpMLB8mMsS2HJFmG41qAWIESVLAFLQs5/2pCm/N7HXk1ED9ezOHvdWczddYxwJiRrSx5RG/nrW77NQfsg73/jz9PZe4iK1UdwtI5sZ4StkLrwuXPmAJHlc/GlW3jpS59GfOghzt90BkcOn+DLt3+X1eEBNg1WeM5Tn87U/oM0V+pU/TLHVuaZ77RpepJE6TxcSIMxPyHE/9E4/e/2dNvHDAcpBT2j1oQNCunl11amU6zBIsIT9Np1glJAz4RAQLen8L0SUdwjNTLXk8v8nuXZPpgUlcVIA+01q/+8QHny8xiEkI9rC8jHJSkWay1cIzQFy0E4Lgv72px3oc9SZ4XNmzeuJYn5xEnI6OgoDi4LCwsYrbGkZMeOHSwvLxO3u2QYKsN9ZElK3AtxhY2xbZIwwRE2KgEVaoyC1LiIyEZrUAm06g163YQyAZawCHQF1JrpvtAIBEXHJ8vWpBYmH65CaExDcPDEcYw0FEsWw8P9VPvK6OJa8IE0RGmEQiFskXedhUQYQ8kp0Ziqs3R8BRPklFVKybrhAloLRgYFu3cfxiuPUKlUMJmBDFq1GoVCgcAXoFI6Sy0auo4MPIwlCLsRxZKDWHX4+ifvgllwsVE/Di3+l77Gf44feusQpwW92LZ1igSfPOYsy3LvVgTGsjBAqDWB7XDwyHF2POUyJkbGOLR/D2mSUHQ8OlFMYAna7XzhFtJG2rnftdZgVK4FFdKgsxRtQaxSKtUqPSMwPZ+puXncTbnbU7VcZkVlFDyB7zrgWAhhISOFNvk1K0WuGchJiMFxLCzXItQRaZIgMHiOTa25xOBQlU1bJ7j08gvZfu42Gq06JgBZgJnGCezAZrmxwFJ9llQpbEfSjmuEOs6nxoVA27BSW8539ZlEG0VMhCUcsizGSIGyDEYKwixFri2w2VqEdLOT98dSKVAIVKrwPY8s06SZRmuDpcGxi7iFElLY1FZWcLKY87adR0kXyBR0GiFxlr/X6Y3g/86jOicJsTEGY0OiFBioVou0Gl18CwKp8PqLxAvH6Gu12SQ9miLhcCfGy6AK2GmPs7fupK+/n/sffpATqkcKuEWXxLKJIp2zqbU/3zQxiJP6Yr4/fPsTQvxfhbUv5tQwap6+E2UDOHYGokmxAt0IhOWQRU1kyUZqiSDFdxXX37ADp7yYVwm1j05cmk0Lzxul1+zwlSMnmB3xedGzf4rtxSp375mi5ysGjIdIMzqZ5q69e9nd7tKWGRNb+pCmQ0FAIZM8tHcvixZYqsuH/vAP+dpffpJnnHkGS2KKiXUb6V64gy9/93buWq7hyGCN3If/VSf0vy1OX1OwINMKjEZKjS0FOjYEJAQFm2Pfu4tSu8MGQBvFgQz8JKMkbYg7nL3hDMYnxrjt7ttZlD1woKsThB+QUsznl9JcW6yN4vuDTj8o6Hr84XFJitfUcACkKsXSFnYBZGyzfnIDjUYL25a0O3VGRkao1VaxtMPS0hJBEDA+Ps6DDz5IEAScsWUz1YF+Or0ui/MLCAtSrSh6AXGYV8d0AgW3iuU6yMhhcWGZTquLZbl4poini3nlOsurMRYSLTRGghYatEeeYCCxbXetRS2IYoGmkE/5xrA6F9FYSiiNFOgb6CMo5sTK2BlKpCR+ghYSqQ3KaDINjuNRC1sUCgVGx0bRWhOGIbv37qVYKSA9Q5p18lZ9HOMFDpaj6LQjSkGBcrlMu9clIdfojqwfwZOQzjmo6WUsWSGVrR+nI7J4UhYhhBgHltae/zdPiZ9un+R6rknUWuCByiuVGEhVhpQSx/fQWlPLErw0pSQtvvK1b7N+eIhrr7yU6cVZlpo17LQBEibHz6QXRdTbHTIkqYFEZ1hS4Li5DCdJIjSCmZkZtk+exarl0gt77JudI1IpV158Hsn0HNJIZueWKPeV6KkUYwQeoEQe0yxtELbED2wcx0E7BiMUlpUP5YlAs+PsSdZvWMdFF11Au92mr1xh3+xedu99lNJwgFNwWAkXiZIerbCJFjmpj6IQ108Rdq5ND+MIISXYEsuxaXba+L6PsSQ9qemFvbUIaDv3RdZrVrANrQAAIABJREFUVYdMY5K82uCteeO2211UrLClTa/ZyfXGOperZFlGe0UxMjZCPW7Q6mkcN+bO/d9j89BGnvqKZ+J0bG7/m9tJOylZFOZDYf/uy+mJgdPT7IzKcs91CabRpQSUtU3JKLZX+jl7aJzvfPBD7P/KLZiBAr/62U9y84038JynXYtc7dBXKNGLIqJnXouSmj/4+Me5a36GVRQxFsZ2AAfQCLL8R6R5x/4nFeL/FPygBeb3q/MaY/IRpsD3CaM2fqCJIk0QSEYGihTLLmdddAmjm7dR7Pf5yt9/k8P7jhC1OtguvOkNL2VqdR+hNsSRx4c+83laBzs0mzEtZVhIutx401N57jN2cuLr32J81WMh6bIyKgnK0Ewt7pufZ8kpIL2E6jqJV0oYrBYpRR77luZo9MEH3vdW7t53GxGL6MUGF2/YwPGVRe47cpxW1GB8/TjHZlZwHR+z5kgqsn9ZOvQT/N/FP1lTshQJ+FJgaTDa4ABDwLbhdVx59gXc8t7fZ+GO+2l7mv/1N5/lldc/ixdcdz16pUY18OiFLd56zVPQjs0HPvYX3DY9Ra2b0MDGWB5go41eE3EJDMkTgBI/TkmxYs1eSEMsU4xJEHXJrZ+6hw03ldHDXYq2y1DfGJ4VsNpuorIelZFBVDehsVynzy5hooz5E9MszM/m1TQjQTh0owTdTbEoE9hVwq5idqpBGmdYjoVtJE5aRGSCJEkQ0lAyAivwqMmQ1AVhO/nFoSXSbgAgjSSMYgJRJOyEZF4Hz3FRyoDysX0XK9MszzZZmGti+RZJFrJpw3oGqv10HUmkauAoYmkROgl9o4ZwSjC5eZKFufm1YUAbI12M9AiKBRwnT0JrNpvEcUwYR2RRhAFUu0VQKTExto6hkRFMpc7U/V3GsrMhPE6mOhgR8GPs/L8IvAp479q/f3/a8z8v8sSpS4Hmv6YnzpHHNJ/UTplMY05r1WQYcicwh0wK8Fya7R6y0WJqcYW+apXqcIWFe2aolgJWVmfIlKYoXRIpGR4YZmZ1BUtaaDKkAFsClsQSLs1Oh+rwMChF4/ASDaVodLps3rqJOFYszs6QxU2KdolmFONbDinQjNpU+/pwCjadXiMfelQdIhUysmGAdZvWccU1T2b7rjPpdttMT08RhiGL3UVOLM4xuzDLcK+fgdF+ErtHbGIiJwS5NoRpFHZm0aq3ELZF/+AAK6urOI5HlgmySDK3soplWUR2gjG5v7G0NTozSGGTxilZqrCMxJEWYRihlCKOMywtSHSK77hYSFSm0KkhCjOq1jjhiiHJbLT26cYxloKZlRpB12XEH2HXFU/ivtvvhSQ3PxFrCX+Pd5wc6Tl1yxeA1FgKHJ3PbHu2S1f1UIFz6sU68LHqbTZVfXrNjA+/91dwU8P73vF+Bgrw67/+Vi7sG8c6tAxHj9Pbd4Rvp7N4dy7yiT98N2fOhqzOz9NNerTmpxgRHibL0E7Mb91wFQcWVvnIXbOsjl7I1uf/CqUMomSVdus4X/rCpxHJcfqKi6ws1PE8iCMw0s7jxNH4WQVI0aKbJyEKMDoAbITo/uee5CcETu+RnKQOIh+6li5SSmLVxvLgbb/5IkbHauzYMElFe4RxwvH2KlFQ44G9NgePP4oMDL/3e29ky0SVJLH40qemWFiZJ7MaXLhzGz/zyldxZHGJsFhgm7fImOPgHjnMgChjSoNYXc1KN6N/tMRgv8+uSy7lmw8/jI4VYw54YRdfGxwMNz7rWdx319dIRZ3RyTJOZ5SRqYRGo0W7EvDVexdxi5KrLzqHsza3ObLvMCeaEREGueYv+lgZwnvMY02Se8rX4aTtgwAUWAYs7DzPQGqGtU0LaFs2sq9I1lvFsTTVDvzZe38LJ0353Xf8Duuqknf+5tsZdlxGlhUcepD02FFu6x3Df2CGL37wXQRTLXRtkTgKaS006HczjFQsRWX+6FkXsXtqHe96xGeucg7XvfAmmrEPss3K8gG++HefJmvspVBYgFigTF7Qi7UCmQ9WW5k87SDhdMeKx1LX8HFJik/HSe3KSe/gSrGPxXCFVqPDuVtHaTQaa+bVkoH+Abq0IVFktkWpUmG1vYxUkjhOyRT4doFyUCXrgUk1Bw4dQqY2rg6whYVOFJm0MEbnU5q+xKDpZgohQAqJb2ysEHxj4xqbxCqhyUhlTCpSIhMR+zGOZaGMANdCCYl2HKKwh1YCaUGvHVIul1g8scQKi/RvHEXYCulrLEviWTYF47FhYj0Lc/OkaZpPItsOu3btIgxDaq0Gtm3TarVI05RKpYLv+6hOSK1eRzq52ffx48fZs28fyk2pJAMs7M7Pr/z3ERdPCDEDvJOcDH9WCPFaYAp40dprvkruPHGY3JLtNf+2tzanrK4k4lScrS2tPAUuyyvGWilsxyOMU8qlMrHOuG/3bq6/9ilEcYuN68bzQInMw/Zc5lZaKC2Juy1skX+neTUnr3JY2oARRGGCH4BbKJBZDqFS7N63l0suvAChYPPGCRabS+Da9Hohw4MDzC6vEHgutiPxSx6Z5WMFebJdX1Bk2zmTjKwbpjJYZHZpim63TSNsYYzARtPqdmh323ihTZB69FQbHEOsY7TKU+9UlmGlEiMtBBKVgpQuUaLIYkU3TBE4aCNJ0zR3xlirIgBYlqTXixBG4ls2caJIk9zf2miDznK3FakAbSATaGUwiaDT7CEs0I7BES7CFnQ6TUpWmUa3TcEq4ff74Kl8tTd5R4XH+U3yh864G7AykAa0sLBcj0grjA1DKXRUSgQMl8okwLWXXcGbn3UdYb1J1fH5xWufyfnn7KI3U+d79QYTkcUGlRD2Ouy/617+5M3voNbqkWWavXv30Om1KWWSjlNgYnycuBehkiaEimbsceUzXkRcGaRoJFhlzPggb3zjNkw0wwff93p8N0BrsB1DmimkYc0+LyZvfZ12bOIHHv8EPzaEsHJJnDQUAvj133gVo+sVF27fgKmlzO5ZZG62xv7GDJOX7kSKMpWyhxtIRtcX0FbEF/7mbr71nWkymoyNtXn9+56Pk7VI4y5pRbLTGSY4scyxB08gRB9SQCATNup+qNfAMczNzFCuFtm6o8hLrng6ex68g978ClW1jrNGJxiRNr5OKBcsCuMDFBfr1IVgutkkDEpEWUwBTdXWbNm5k09/9y4EDrHMZVM/IcQ/Gv5ZY1YBBjJyH31pSaSlmRMaowxoQzlOCELDC6+4mv/nxS+mtbxMn1vkrdfdwNk7thHun+VE1UN3HNY5ZRorTe75zj38+VveznKtR5/rcuf999HrdumXFk0PhsYHsBKf6eV5pF1iYaHGtS96DhkBI4OjYPczOjLIlg1nYeJZPvi+NyBo4jrOKStStL12TI+PZM3HPSmG79sepWnKWGWcmDqh1+bYsSNkCJySRV+5j6gXIhGEaYLrexgBXiFApha2BJ1Iugs9OtEymXYwyuAYH9dyIcly9wDjIoRGWYKQHo5j0+m1MYUAVEafKVMIPfrDAC+W2LEhS0fJ3Iyo0CF0OjTdOrZXRKcSZRsyaVAYuipFiNyWS+kMW4NLgTA2+JZD81AdGSSEKsIKPIY2DpLORiT9FmbN3cD3fIwxdLvdPMBEG5YWFknTNG+fZ5osVdTXNguFYpEwDBEmtwhLYkW/PcLd39uPZSykZeUE6kfDAz9gdXLND75gzXXijT/qG+u1dDilFA55IAbGYDsOaaZI0gTXdal4pVy7LS3CTJGhCX2HBw4c4JUvej6try5w4fkXccft9+G4DrLPYaatiOMegeMTZ5pMWkjHQghD3GjhFkr0TERKk0q5QGI7KNdjenGa6qH9rB8Zo1T0iDoZPdVlsOAQiQxURLl/mNJAiYXmAl7ZJjJdJnflIRoD68rEOubw3D5iUnQG9WaHJFEIHFbbTRq9Dn7o4HUddBBjBCQ6IYzTtXaspNeN6R8YQinFfGMVzy+QSUm72yU2Btf3SbMMG0mSJiiVEYURmQZhYhxcBII4VKSJQmoPY0ClCpEppDD04hCJhTQ2JjPo2ODpFCEkVibQQpJqi0Kxn/ZKDVdIlqN5CrbHpqs2kh0LmTk0jYNFWn8s1Qd+PJzkx8KApV0y2yKzwLEzfEtAC9pBilBwruvy3O0X8vM/dwOtIyeoHl+mXW/SX6lyw9kX0O10cJOE93z24/zyy/4HG+YXCWfmucQfwllq0FcW3H7bfehqwMHdj/K8a66jz/XQ0mAnDqwu44gqZ13zWuwNVxE1a2RBgCU9ssxDZQMUyzt44698lS9/5oOcOHE/ltMGsYJlQGibTOadIW1ySz4wCJHklSvzX29199iFDeTDvqcHnFtkhEICAQ42qYkwVgYqAFeQZk1+9peeyuhZAsf3aK4UueMf9nN0d8bY+km++eBDDF1e5eGlGc6/7Eye/fTLOHJslenZhG98p4NJApxij3f/3mvw/KN85v2fwUl20uxshfEi44sW7XYfK1VNtdxP/7xLe2OXGcfnnpkl7qmv8stvexXjmx6mLWYZExZ+r8LCyjK3dU/Q6Sj+3w/8OX/85jcR9EaptU6wYCu+/PAefKfEhgs24Lb28Uw2sT/0KPo2ftSjLsHJIMIjETaWzLCy6GThM6dJIq+AnnzuvzVONhFMXmDTIr/F2UaiLBscAWmIH3jojkHJjCKw2fd59gWX8Jorr8FudSgdOobTC+krlnnm9nPodTv4ieDdf/1xfvGFr2bd8VWSmQZPHd9ButrDLsO9995HasP+hx/mBdfdwGDRI5MZQbdNR/ZzYjnl2ue8mvWTF7HQFWQqQ4oATZko7kOaTbzmjX/LV//2N1hcOAiyiaSLpQMEASm1tYM8nU/IH/Lcfy2eUKRYKUVtpkY6mBCU8hQnz7YZXjeMKxxMBs1uTgYzlZEKgeW7eLJI0k2YPjJP0Smiu+AEARiDg8TGQtgnfYkFWmgUCZYrkWuuRoEO0ElKQIATeSRtG2MsLC0YJiALM/xQULI8+v0KeJqWE5MVFaGIaSdtsiSlvzRIKJuoJMH2HDphB0vKfBJd2cgMhFYIEzB1ZJEzdo2Thi2UUni+T6veoFAuMTc3R1As0Kznx7t925lYlkWr1SIMQ2zPZXJykqWlJdJejw0T61leXWHIHaTfjEO8P29xyzx8+rEErfN45CzN3SdOdgtO6vQyDB6CdK2KrDKNsSWdTLFcb/B3X/oyl+zYxiPfe5BAZDRW5rnsimv4/C13MjI8zEpq0LGCNc/HLEspuB7CsumpjCiKGBkdZnBkhBPHDnLBxCDHpk5w5SWXsGfPHiZGhzk8u0q5VAIhGR0ZYjVLyYzCK3i4gc2GTeu5/MpLKZQ9mmkDBwsvqHDg+BGMFvTSFGk5VCtVjh2botFo4DYF2tOMbu6nG3fQUp9KK5RCIjyLRpgn9PmVEp1uiBYQm4zUKLSxUFphYWGMAC3QWV4FFsbGCTyEEWRxgi1sbNvDmAyhDUZrbCnRlkAaCWnucJBlGYIkd9VQuUWikBotoOC5WA6YLMYuOEiTMTG5gfnpedLG4//2d6oJblizs8+R2ALLMgQ6ob+redo55/C2n309tQcfxbMdPN8h1gm/+P5fY/LsHUw8mHLBBReAU6BQCPAGBth/3308d/RMlh7cSzspsal/kMs3nUm904AISr7HrXfcyfnnnIOTKoRtk9qGZmeJudoqswNDsHkb070u2wYCUpWhJajMo6dsFud6tJsZ6yav5IU3vxLHWeS9v/WzmLVjsV1JHGsKfpFemOR2YOLxrxf8j4f+Z4/yDrgE6SDQGB1heSmZB3RbZALGJ8tc8uSLaXVmkaLIsgo5sLgPVQh4cOowz7/5uYTGwWRtXvKSZ0NUZ9+hA9xz9z66LQPCod2tYbll6p0uL77p5Xzio7dy4Pj9VJ3tNFOfyPE5uDyFWGxwpruZhx55mEZ0lKMzcN/nP8kjc/tw1+3EkmCkJihI1o8PsL1u8e2P/gFHpr/JwoMHKbcFZb9KEMcUXYvFXoft6y6iWpshTQw11UVHPc4aGaOlW8ys9EDaxDJD6QRFTjwyOHVBnWb2+BNw0jVRINeSA5XjQRozWAwYtgPOmdjIW171GhpHpii4Dv1BgTSKec973s6u889jzBacffbZWMVinrJZqnDi4EGuXD/O8cMPUPybDtsmKhT0MFF9in5dYikz3HnPnVx03rkERmMZizBOSLqz3L3YZq46SbMQ4Pfa+H0TmHaNxKQk2kZ4fSwtNamtCDZOvpiX3ryJoLDMe9/1arQIsUyIbRdIVYKUCiFBZznhF6fEIo8NPO5J8clBkZPyid137OHKN5xLdV2R+al5wm5Es9ZERQlkEIcJtpQUgiKWY+MWSzjaY352lQJlRCQI7AJGC4TIPYh1kuWuFZaFNCAcC6Nt0m5M0atQjiuUWyWEEvhZGa0c6nFMTSY00g5+81be8pK30tjTobPQo3G8xUB1gBP2FA+t3oWsZvQN5ENzohUhiz5Fu4jCkJoMaeX+scIto7I2WaqwTYDRMc16hOsLCkERYUmqY2M0ux2EJWk0GvSVygRBQKeZZ5xrrenv78cIOHTkMMViEaUUc9MzWJZFEPXxjS99G6kcpM5yiYGwH1O8OEkSioUCcRhTLlcIwxCzJqewLAttDDpRCCHzmOe+EgJDrVNDRDFJr83lOyd56pVX4ZOSZoLPfu0f6SsVOLB/D0PbdiFFbptmOw5Sgp1mqFQRFCvEwmZuaQkVJ5QH+phbWsVV8Mijj3Djc57D4uFHWGlFjEys55HZFTzHxnMMrmfT31fhp17wbCY2TrAcT7HaWmals4i2Mpa7K0Q6jwN3vQpS2KzUa8SJwnJdXNdnYXERUUjBBelaZEbnHsukRGlIsVwiyxJWm220EaRKo4VE2wZBikKRrvZy6YRl4do+WkKvGxGbFEfYSBzQGd1eL7/mMSRhQpSlZGGMLWxcEWBh4RgH381lO9oIXNvCcQP6B/todtqMjQ9j25KxsRH8wGOXfRF33nYnwUiBZPaJEz1sS4la82QNXIETKV7+1KfwM8+6nkomaOzZz1fSExy7/Xv82nNfQWE55EOvfhONlToPndhHfW6ZkfIAlcAhaYSM4eNFDu12zNHdB4iGqgyOjXOiXeeCM7cxs/8Q27dsxc00ARaObdNOeyzFHRZHt/PxOw9xxbNGsW3JcrOBaxXxig5K57KZ+YXjtJrH2LppG8dnV/n8Zz6G37+TqLZCZiyypIvjOiRpiutZqDQ9lQfyGFoKHoPQnLyt6pwK5w6vxgJSihVD2E54+aufwhXXXcUtd93L1k2bKQSaMK3R7XaZPlankazyvJ9/AVF7lUNH5+lZHu/9wKexZZOXXLMDy7TYtt1l48bzeM6lL+L33/UxPvvlJdxgI8eWDjFmdXnR657JNcuK1774w3Q9SVIsE0ZNpAVCPsgt//BhxhcfpvvoAe754P/C3rId6W1D0CCcq6OVjWo3uaJ/AP2Nr7PL9zhyfAnwmOp2SIeG6XQzXv2SaxlzbXZUtlBbavLdmX288MmXcV5hiOXVEyxv8fj6/CxHW006PX3Ki/n71rYCY9aCVs0Tp3v0Y2Fts+A7HiZVxGlICbjpsst52RVXsbHSz5EHHmamscRDt32XX7r5tYTtJr/22teTSIvpfXvoLLcYKg7QV62QJTHV0DAENDs1po8fhNEhKtUCi80ltqwf4UCacNYZk8gsQao8zU5ryVSnTWdkC5+76zDPuvZXUI4k7nbwDEjLIYpDWp0eK6tz7N9/H+eeeRFzSz0+98m/QBQmMVGeMix0CUumOF5KFLVPLSbmMbaoPO5J8Q9qlVpTmj0P7UVOZZyxeStRT+SDZmlGkqaMjIywvLyct98dhzBKObZvhqSlqFpVtMlIRYpnkWs6XZ8kynBcjywzpKaHyASu5VKWFZgXjKUTlGqSwClSsfvw3IAFWUMPCGaTZTZediGf+cdv8LzzXoJKOqwvb8H3fS7bdD3/Y+fP8J7/73/RTRYJm11kanFe8lRqvTqxn3Fw4RCVoTLFikvN1PGrBle6WInEKIfedA1/tIRJFVpLmrU6frWMiSFR6akKeqFQoNfr5Ql/q6uEZGyYmECrDAqGsN1BAPXjPeIZcDN7bVL9sQVLSkSmScIIx/eod9u4rntq6tY7WTm2FAIL33dRcT7t7Xj9JET0PMHf3v0gu846k2p9hosuuphOs8O69evpNmJMV1HQuaqSLCMTmhoGSxikalEpFgnjHsKVBMUhOplCejZ7G11Gj8+xuaOgvkTmwjpLM1OrY0o+SafG9iedhT04xUJ0lBXpEFoRLSdE6YzIsgi1hbAlSZZ3M8IwZbhYgDTCyhxG+jawtNRkcHQQ4bmkWY8kU9hSYooWtShPmtPK5HpolQ+7GAXGKLI0RZu8souxsYzARVBwXWSmMSokSzUmyxiM1qLNNQSJhWW5DIxtwBhBr90j7MUYDP1OBcdxcIsewpIMDPVTLpfRWuO7LsVCgbHBYRzXYtvWXXzgz/6Qt7zsFx9b0xU/BoQBpVJ84aCM4nO/+laGuxHbK33Es3M0eh3qjRo3eMPsuPFniJeWSIxmd3uB933uE1SA8zZtZWjrVqi38BJFn1VmtVTmC/vv4eLN5/D5B7/OTedfzf1zh7j4jF1IbSjYNkUhWTx+gvLEEI/OHWcq8vh4fYhnveMLWF6ZYhwTeZvo1hLqzR7LtQUa9TY6bbDrrDEGR3eSxCFv+IWL6Ct4VIoey4sLfOurf8yhI48Qxgew7BiEQmgXjAPyJ3Zb/xoMeQxYdiqGReNVHTZt6+c1r3wulWFD5tURgc98fZFqpilVLXrRCpOTZ6H9jQhZQKUGWwr+9lO3MDF4BpOb5zGJoVSt4hpNW7dpLuzhFTdeSqmkeejBw4yMuQwUmgi7zWC/zYfe+Sre9Cef4njaY2TM4/3v/zkiu8uwPcfuO+6ksgqbvCGWp5d43saf4tYvfZ3eoQ7HGxGW4zE312Jj3whJmuEan7bOyKqDfOm2u2gY2Laxwup9e0miEmnBpxF32FQuYi/VKQhJta/I3H1z7Nq2hXXDo+zZ/SiLUUZkFIk2aJOnzwgD5omyKPx7cZp9gzGGLE3wsPjCb76ddUlGX5IQLK+wePgQQisGRwZ5w+tfR7KwhOn2WG13+JMvfIYusHNgA88dWUeiGlSEoGq5LJs+vvTAgzxt+zl85qGvcvNFT+GhpWPsPOsipM4oSkEgYHV+ATWg2TM9w1GrxGcOt7j+bR+lU9yMYwLSlkKlJWqdJZZWFmk2Oki6TG4psPmsSSxpeN4rfpvzdm6lXLCYmT7Ovf/4pzzw0D3E0TyW5ZPpaC086LHFMh6XMc//EqSUWP2aXa+eIPQaoDRkFpGKMKHC932ksCmVSnS7PbIswytVWXhkEbfnE6QeoImyHiZVSGlTCMpoDToTWJaD0TFxHCMzgViWjFsbGOtNMKqqjFSHKWYBAwMDrDtnPevOW89ff+vTTLkxQ2IYfdSiLKqYxCAswWBngNXKEVa94yR9ywwM9TMxtJ76VwTGMRyuHSf1MubbsxQqHr1qjaXmNEokZJakMlpBiQYDVw2QGc3I+BhRmrDUrK+Rk0FW5xZzSUGWUSqV8H2fbrdLzyiEMcRhRMkLsNb8fh/6cB0UuFGAJEahUcIG8yO1u//Nkaw/KlzPNQOD/XnUtsmT+6TMh8dOdgwgl5hoYeW+wzJ33wg8Byvr4qHxTI/142PsDDS9KGbjpu0cmV7G8kocnF9BWRYNbfD6yvQwtHohruuCbeO6LsooJkaHUFHEQ3fcykCljExCHMvmRWdu4pyLzuLeB+7DHeijkylmVMLI5HqedOOVdLw2najFoXqTTqdDu9fN3S08j043xZI2aSLJlEEIi+6xGSbWr+ehw4+w8YzN9GSEHTgEfT5aaNI0zmUUQp3aJJosX2yMyr2RkiRBqzyV0cNCmNxxwpYOwhg8O0AlGSpOSKLc8s5K8r8p23axRR5PffGFT8L3C1TLfWSZIQxDsjii3W4zv7hIZjSdXpdWo5lvTlSWywuy/HcvL6RU3YDh6iDf+MhXMfHjN+ZZyzXphAYbQdkv8MqbbuJlIxVGOxGdo8cZ6iuTlnxuOXyAJ+16MoVEkc4vcGJ6ii/cdxfPvvlmGibhE3/1KS6/5EKeeekVBLFCLdRpdpr87+99E7epOPMVP80N1Uns8T7WnWhx5y3/ABZ4StMfFKHqMx+3+egDu7nsPXt4NCoxaNoUUjjRGkatJoRpi1R38TyP22/9e17y4ssYXn8p99/3EGMjE4wNDlMIHKRIqc98g0LJ8J73vBqsLlKAUAHgYWTrP/S8/tBz/SPEPP+o+L8d3yuFh0FiUCBSgrKDESlXPecSLnrSJvrLksKATT1p8eW/ayJEk4kJwdVXrKdSKOIxSsEf5sShOR59YIrv3nofc6s1vHKR62+8lKuvOJ+V2nEGRgWOibl6fCtHv7OXo3XDX9yzh1f8zPVcsTlhIBRMP1Aj3bOE3nQer37Pn/LHH3sLheIcG9eXce96mN13dUma/dhRGWHaOO4Kbb2OAItOrOh6FpFrMRBUsFPJfG+eqdV5Ht03y6Ful0Uf/vw3forskRrpMck354+QlBSXB6NUM4eVSpG/330vS42Ep289k8kNm1ASHopivnXHbSggQSBwkAgSOzs1PP3vDYB43Mc8r316S1pULY/Xvea1vHiwyEg7pH30GEXPRg73c+/cNJs37qQqJL25WRaWl/jsnd/lmpe9lCSx+cxnP8FVT76UG668HLvTIZlfoj1d448e/DZFI5m86Uaeve5sOhWLbQ3D3Z/7JMrOEFnKULGPYt8IM60mH9l9mJ961xfZr0fIChvpLDWxu5pWQ9HoLCLsDMsS7Hnku7z+ddez3KrSqHdRsWHTui1USgFZqqhN//+MjFZ5+ztfB1YPiPI2irByLcV/Pp5gMc8/BFpr7MjB7jg0m11KQyWMSKlzAAAgAElEQVT6yv30xQp3xKVQLDI9PU2UhEgPMIZkNSSsayzj0UsEjiuwPYNIbCLfZ9G3iHua0azEYOrjrGgKcZWyrBAM+Bw4tI+Z8Civv+qdjK3fxFfvuJe9cyGHafKC859ObW6UJ0+czczsMZyC4MjBQwz0jzE6PMpSpUaps4Hxzjja6hJ3uywfFUyJe5k5NE+FQTZWN/OC83+a7ZvPpK9q83ffvo2D81Ms9Q7jJhmxZVMUNtPZUY5lJwg7IYVWP1ZFEomY8fFxAGq1GnEcU6/XcV0X1xJ0kzw9rzzk0ZkzTAyczX51T+5OIKLvV+F/NEL8HwtjcBwntzCK49zv93TT8jVYVu4xLIWNljZGCNLMgHQJs5QwEqTzdQr9HpNbttLo9XBIcEVIWXRJsOmkGpm4lPr6SC2J4zhEiSLRGUmWUWt1iTsdqkNjqDTBdS36BvqZqrfZIjLGzljHgdlDnPfki3nB059GVgq4/fijLKga88vz9JBYloXte/TiCNXtgLHRWqISBZnB90oUhsZpNrt4dpHluRUogBKKYhhQrLhIYRBGI2J1SleNziPKLSGwLYdU5/otaUk8Y1CpxnVdBgaGsG2HcrFCsVDG9wuEYYhWmjBJUUpRrzdZmFukU2/y3XvvRSlFr5cgtKFUrJCu6cGEJcEI2u02KsmQWHjIXMu/WieJYgZHJpieXaAVhnm0+OMEYq3Nt1bUQtgWlb5+wsUlxoAP/NrbmOzv56H77+cP/+Iv0VmKIwUNlXDpueew0G3wjbu/y5snr2ZBp8SbBnj3W36N1elpvPFRdr345cxMT+PXGvQ6XdpzSxyMDTu3nsfVT72CC4JBbCujVl9FhQ3ivgArzijRoxk2WR3aydzkZVzy/MuIdcCOUpG9+6cYHi5x57few/yRJc6++Mn094+zadN2fu4XX8fM3AyNhSNsHh1ganoPn/yrT3DJpRdxyYXXs2pvY9NAid//k6/wtre8jLQ3DyLEtjUytQGNFprM5GpQx/bQJsGYfPNzyiFmbbNdrVZpNpunUrdObmpP/px8DD/gt/oYKNr8KDjFxoQGJ0Xa8Na3/08mzixQ03W0btJtt7CsAXoIJob62bfvAK966ctx7BYL023+7I/+gh07ziPJTvCmN/80V9/oY9sDGN3H/3zD+zlr22aM7eEUizhRg0BqRpMSjTRh/uAMW0ZdJoKI5fsXsff04XgB5WaPD//KKxgakhQLRcy+aTq1ASzl0Gu26WY97HKFE7V+WvoId917nCEJdQ2dQoE4gcHxMTyvRXN2hXPHt1FEcMfUQSaGJNMioun2cWJ5laeVhii5mgU75cDMKu3E8Jrn34h3ZB4nTTjQXeTgIwepAsKyMLZHI+5hgJ76p5LIk3g8J6T9cDgI0n+ioxbSwTgWFddmzHZ4002v5JKNG9lz37387p9+Ft+1IDOsZJrrLr2KWhLxxS/9ETddehlps4W/cRPveMub6Rw7QGlsmAteeiPHj0zjra7Sqjdoz8+xV7icccGFXP2Uy7msOk7UbRDVY9TMCo2iT0mP47QPowurfLczgDr3l7nsVdtZUmcy6pfYve9WRkdcPv/Fz7M0V2fDlp2Mj49z9q5tbN/+HI4d88CbRyY+utXhA3/5bq685lJ27LoMMXIDYVXyjt/7JL/9azfjyAQtNLZlkemMPMLcQZMCKX5gEYU5WT65bmzdupXV1VWazSZSSgYHB1lZWWFoaIgkSWg2m2zYsIFer8fq6iq2naf9lstlwjBEqX+dyzyhSDGAihVJR3PmWWex2JulF3bYMLKeMOwQxzG2bZMkCZVKrkVNVy2qhQrddg9bWCS9jKLykOUOIkroiy2Kukq1WaYceVTCLfR5EqWXOXT0djZMrsOEQ3z96P2IE4+QyQJZ2UGLhFq7gRaa5soi1XJArb7I5o0TFEsV0rSHowxRL0RjeOThR1mNl9k6so3R0XMZftJOQt0jKPSzt9Ph8O3HGQgb2HY/l26aZOPO5xGqJWbmlvja/Z+luD5goZDhBAXWD6xnavoQiyeWWU4cPM/DcRz6+vpyfXGng1KK0bExMpNQW17F6pbYfWgfSZI8tm9EPxCbe/ImfKpCevKzC5BCkInvL6ZK5yo/YwTCcggzWGqGlOpdqoHDGZNbuO22Wxkdn6CjNKGEUMXE3RjstfeWAunY2FLgeh7tdhPL8zFSouOQVhTRtDKOL8yy9Yxxel4bryjopk16zRZzy7PovgBsB5MqoiRBpYZe1MNxPdAZmQGtDGjQSYxjLBq1JuWgRK2zSsEvYBBkUULmguNYSFuu2WutbRDQGGFjspz8SiPzSHIpCaTEq3oUi2WGBofXiIkgywxRFDE/v0C73UaL3Fan0+lhuS4DQz6tVgeTQaZzMtSNQhzfR2tNZ83xxChDEirQBk9buVuF9vEsh7DTxXLyTcrj5UYnTF4VNnDSXhYjoLW8xATwqd/6bRYPHeZ33vsefuM3fp0LyzezoTTEXUf285mph/nKsX381S//Dr1khf7jXUYLRayxfrqNNiPjG+DEPEfDJtPdOu4xi2IC7lCVO7/2VS647hkUfQ9PG5aPTZFZGb2DUzywUuecoTZuvc3xdZdy+7nXMVi4GGlJVpYUcXaUW+/6U665+ipe/fLXYbwCGEnYU7h+wP33389dd93ONdds4ZztP40lx7jq0n4mz3L40Pt+mbf9wUeRJuXuO6dJuxsAC0EdkSpSKzl1bqSBcqmfOExJVXiKyGRZduqGBNBsNk/9n5PPn5wDORlscTqJllI+ttehfxUG2xG8+/1vp9Gc5+iJo9gjPnHcJGy1mdy1k6N7lumvVPnpZz+T/kqV48fn+OqXb6fVcBge3871Nz6DYOhRRHUJkUHgDPPKm1/IJ/76E6zbOMiNI1dTMjFpGpO0IuqzNf7uc39Kz9qLpRN6Sy26cwVGLhph5fAS++M5vvLNT/JHH3g9hJpQjOK4iqLf5d77v8eJEB4NS3z4Iz/Lm3/9TD718c/RyizuPzbD0RML7Fte5NnXnMvvvvNtLNx5grlGkwenDrJlwwRmY4bjr0Pdcyu7NmzG9SwOLs+y58gJNu6YpK9QoqMS7rn7PqKJKs+94QY6maKbKGIkj+4+gJSS47pHrVY7ta4/USEwGHL/71M7KakhMfSrmA//wi/hhCH/+x3v4nVvehPv/vk3E0RwsLHMp088wBcO3cvfvOMDNJ/2dMTKMkXLxR0dpxF1GRzZQHVhhYWkS8eDmQNHKSsbUypz+y3f5KLrnsFApYzqdElWGsRRh+zYPHsOH+fqHSErAyvs6d/K6uTNVDY8mzBrU69Po3SX22//W666/GJe84oXY4oZlt5Ma3mYUslm35Fb+Natn+TaS67jnPOvodExXHrtS9gyOcRHP/IRfuGdv4o2kj2PzoEeJ9USi1U8V9IygEnzApzOUx3TSDA+Pp53U9ttNm7cyNTUFDt27KDZzDuRy8vLlEolAHq9HgMDA8zMzDA8PAxwav3JE4X/bdfTE44USywe/soUO+1RonILLJsTc4tYQpGmIaVCAccN6HUihLCRkYNTzKhUfMJ6TJ/ox25IqHmMmAJiMSVcrhOZmHlCnte/ky2jk1x0+ZP46/s+zZJZZaqzTK15mPPPvZDOSoiNwo0Ttm9dz3DFJ20Zzj/rHA7ul4RhiJU57Dt0mP32PWwaOZNm0qE+2cL2A3Y97WLaXxzDH+3ynQPvpzJmKMQltvdfSGO4QNTOKDo1PvaFr1Mopuhmwhtf/gp2i0c5sLyfZDBkOVumVPAoSU1dS4qVXN9pey7tXpdeHOEITbPVoht1GQqqeGaQR255FEtYp+QWj0Wcngx1cvd4UjpxOkmWZs0wXlpkKJAClWmE46AzC0sWSDPFXBrjdVJc12V2fpornnwhnU6LejfEH+jjxEqLVrOONVhFqzR3W7AFURIzt7JEuVRA+Da1pXkCL6DR67HiuyzpLqNuyk1veAXfvv07PLj7DpqZ4f+Q995Rkl3luffv5HMqV1d17umentiTRzOKoyxZGQUQsgXIYATIxljXOGFfX5wxYGMD5jNcbF/DtbGvfQUGIYQABRDKoxlJk1N3T+dYOZ0c7h/V0xLYxv6+te5C4nvXOn2qTp3Vq2rvs9/97nc/7/MI6RQLxQKm62BaThs2octEEaiqimsH+J6LFIgIkUho2wS2SkcyjRt5KJ5EWk7gRh6O2cDFItJE9LhKywJdj6HrOl1dXWRSWQRBIBlP4vs+rusiRlAvlpmdnaVQrDExMUcQhSiyTrFSJRaLIUoKQRDgOiuOJBTwfasNwfDawbAsyoiCiO95uM1wReSjLQriOz5O02vDxUIFiQDckNAPKbgLZNMZlpcXCP/fU/39WOxcsdTq5LUCmRgy4KHf/yTHxo/zma/9HX/y/vewbr6BZRicKs3y8ItP86Hf/x0E00Wv2EhxFboCPDegUSugiCFTUzOMtDTKThM3qRFKIoWFZZ4/c5Crd13E6YmzyHvPo9aoMVsvUbFqhNUi3aFM0tYor9vJt+YzDPRdhiSm8KOQerOGaTXZtXML/f29iH4GSYVqrUWEyOHDhzm4fz9vvv1WBvpT2JZDV08ehE3MLLzM9kuvJQwtXMdHT67h1jt/hRMHv0Fl8SVazgKCDAIuIhEiIs1Wna2bd3P0xAESiQQ9PT2MjY2tYv2z2Syf+MQnuO+++1bZUpLJJM1mc4VDXvqBDE4ymcQ0zXZTvy4D43am/LUV8+ceDQURP5KIBJOf+6UbiPVUqLDEn3/im9z7C++ko7uDlnMSu9mkX41T7S2w8/xNHD7+PGfPhFhRnE9+8V7C6jhbopMowS4OjSYYVGeQUuN0dhqENZmnvj7DW+6SkGI+iiRzOjL42qHn6C9uZm2PgVjMoAlNSDRYOlsgJhrs0LtZu7WPIXcXo7JO6dgJzKZApMLeK2/kia99j4l4k/XbVPTiBBukgHnfYHLsLBYO//wXv447PoX60ovEF+bx7YBOQ+DgIRGrKJGePcXH3nwDi0JAaWyZbTWD5wjoSkFXo4yTkthx0flszg4xb04T+RZdKPQKaS4YGWHCbpGplulYt5kzExOMLs7RIiRQAV+AUEJYZXlpywq/Pmep/9jamrwr1FWr10IGYime/fNPcfDA43zq7/8Xf/qBX2Ng0YeExHTQ4GvPfpf3/+YHESwbv1yioyNGICXaKq5OFUGWWSgto9VNmrJPmI2j2DGWx2d55sQoV23Zw9zcHJpwEfVmlfnSEsVmGbFWZai3F9+yCHK7eGY2xq7rr8VGQ5ZTVGoLNBsz7D1vLwM961HlNJEsYDchkZQ5fuIVnnz229z9tp9lINaD7Zmkcj1sGNmDVZ9meHAYmQhFjtHds5N33PvHHHjyAQqzz2PayyA5rFRgomkygqAgIvHbv/3b3H///SSTSaanp0kkEhw7doyuri6Wl5fZv38/1157LUEQ8NnPfpb77rsPaAfIuq4TBAFPP/00+/btaxeWqyq2bf/IvvmJC4rDFdz2xjXbmfYtAkWkaUJMFVB1rc0kIMo0bRcBkYZdQ4pJSIKEHqhEZohuGWSXuok6EuyvncEWBLoUgbgb463v2MfZIw5ffeBZEhsuItCrTHtPsbZ3CA0FLaYiBgKyDnEFpMhBiXcRICOGMYQAPFtkTe9GFNVHiFRmZpeIcjLjJyeZTi2SVuewogZSfAwtpaPJaYJgmoARDFXHtT2Gt2xhcuYYNadE9USDjg15MkqaglfCDE2yMQ3VUMj39bG4uEipVKJUKSNJEl7gk84kyXTlcBdcOpIdjD1fAod/BUN4vZnAD37HMAx/AEIB53CwIght3lwBESIRRWlP0qIsQxQhKTKhEzE+s0AuNkBHSifXmefU6eMESBS8Jolkjh4jydl6iY5cDtf3MDSF5VKRgaEBGrUKqYSGL4ZYoYeRjTFXW+L+W+9m17YhxicOoWgioenRrLcQ4gmcponruwiRhG2bJPU0URRhmiaaEkNWJOK6gRQphLaHKqhUalXUSEKOJDRRQ5c15EScVFccLaagxRRENUkymQTE9g6EKFJcWmbWWyTwfEzTxPM8FF+gWKkQhiHxWBJRVmlYNkYyRRBAvd7CDwPcqo2iKCQSCRSxzVldbdSQkBEVgUhoS5v7tRYh0SrVm9sKkFyQQhHRjxDCEMkXiCKBtJogtHxikob9On7OXmvtUqn2HwURMQiIiSJf+fifIFkmG12Jv37rvQhNn1pWYOHECT761Hf4y7/9GxKjVeRChapdIdksMe9a6JZA1oizHJnEPZv9s9PMqw6z9SJrN3ZQxGHr7p3siPdTm6hRX1yg28jw9PGXGSvMc/GmrWz3YjS9fj662M317/kIRkmlmS4zOaVgNgvEkwq7R96K2fLQUnnMoEQynaVWrqMoEpddegndXXl0cRNKosRi8RCTc9OsW7uVeDJBrVwhFs+TSA+iSF2MtGz0tetQwiYnFk5wdOxFBKmJqIKRiFFrtBdan//85zl69Ch79+7lG9/4Bp/+9Kf5y7/8S9797nfztre9jY985COYpsmnPvUpvvjFL3LnnXfy+OOPc+rUKa677jouuOACbr/9dh588EG6urqYmJj4Mff+v2XnAplzcmOvFs9HyAhEIMMVV+ym5S8jqQ4337CHL3/pf3PnW9+ErsQQGh4JQSE3PEit5GBWQ3zT5rKLdxCTm0iGQFxN8od//HnmqxX+9IPXEUsmCJsWiUSK7XtjaHERLbSJBz6ma7Nt5yY602lUQopzRZo1cyVDJuGaJiktTmQH/NNH/oGdu/ciuga4KhYu1UihJ7+Gy27rQrF8zrx8lK5UnFZLIgocHv7mX1F+5Smw6izN10nIebKJJFbjFZ54+DEuXb+VWCLFxNlpCkJIjjiyrrBjoAvRbGDOTxHaJpu27UAoN6BuklLAN6vEMnFs3yYV2gSlReQo4oq1w8TCkKPLc1QFEM7tfrWX2D8BFoLQnpdkRUAKPNQIvvJHv4tVLTBgy3zurnciVOs4HUlKp8f43cce4ov/++8RD08jFyvU7DJ6zaLeXMYWBTQth9NyiMwS+ysNxkSXOatO97aLaKhw/r6L2EQH3508TnV2hpyeZv+Zo4xVltjc0U1nKklTXcszy+u5+m2/zlKQQJUKnDgO1VqBro40m4cvwXNBiydpmgGqLFJtnMKXxrj8iovJxncg6RGK4LNYGGPszBwXn7eL4Pw6tYKJmE2D0E883cuG9SZ71u1C8Jq8fPZ7nJk5TCYtEkQu9XqTVLKD+++/n9nZWfL5PJ7nkUwmsW2bv/7rv+bIkSPkcjk++tGPctNNN/HSSy8BEIvF6O3tZXR0lO7ubpLJJH19fXR2dnL//ffzvve970cm/X7igmIhEqGl860HnuDKd69BzMRxyOI2i1QKCyyVqohAV3qIyYk5EmoGYRmMhkHe7EAzFeJBgo5gHcNWlrelL2Dd8BomwyojV17Ih/7s17h45FbW7N5N0XcJrRZ71l5C2taQWxKGEsfBZKIwwZe/8y9M2fNcsnsb39//KAk7RkJPEQYh6XiCbv9ylqsFcn0DZDdkOGadZKSymVZqmtEzc6zTb2WdugnRipMMOrHtEgmrXeTVSvhsXbcPSavTXJbYePkOMs0EvmAR1+OgKNQCm8WzZwmCgHg8Tj6fR5ZlFhcXMc0WxbNncRwXT+1n8tACip8kEF/fEq7BikiLqqr8qEKqdhKy7UYRfKAdJBO2wbXhCmTARiGbSXNqap7s1iH2HznJ8KatnD59mlwqQanZYHhtH8v1EqrnoXgefrNJNq2TyetIsSSOW6d7Q55yaQEjrbL9umtYipocmR3FLpWoVVuETR+/ZuNLVeKyTExSCBWNRiQiRRK6oIIsokgysiSQS2RJKDEUQUaphWjDw0xOzTDcN0CoCmzcuoHF+gILjTnMht0ubvOqrzZAW6+3nbV1HDwvwGy28H0fwZdQFAVZ1jA9AbwQ2wrBcglDcJwAIpG80UEYgFN2ME2bwAtRFRUhgsBsZ5E92yNttzN9lt3O7qlIhG6EQIgaiIi0+bqFSEBCWf2Kwv+depj/ayYAchCRFDQ29g7S1QrxoohmrUE8kFBTBqVGnXqrzh0X7qN5ehLDl/HcGlrYAlelLLrIlk2xaDKptTAkkabgMHVqlCt/6hpSeozhyy+l2WiQjDR8yyQmioRNi4u27GRoaIi4GdAwLJ4o1LntVz9MxVnEiOWoV1pUyhHZfBVB8DHrwyAaWFKNMBCQBRHf92m1WlywZzcRLq7vYflVKvUijz30TX7tw5cwvzTJqeMVLr5sDaR0Lt03TOKqLazTQfAc1JTG+Mwhnj/yEA23wF/8P39JJMl0dnZy9OhRcrkc1157Lffccw/FYpGZmZnVNrztttv4lV/5FQzDoL+/n8cff5yvfvWrAFQqFTKZDLfccgu33HILd999948c4z8uE1aDYnmFZQLOLZ0C0UfUfdQYNJ0FUB10Q2D7xbvRk0N87cFvc8nFI2ze2E++exDbrlBeCjl1aIFGdZn3vv1KDG0eQ1TpMPJUizKikqYr302xVkeoCoyNz3L5zXsQvRp5BepTSyxWqzTsBhoulbNL+KM1GgWbQBCwl0AVRBRNw9ANHv/Gc8Q6tpHRpvDDQXwtwUPPHuJgcYGP3vNLLBx4EnehhOFkUTyPziS4tSl6nJCmExHv6OHo8UnqsRQaFnOHz/CdwxO86/pbSCay1Gtl7CggklVCTyBlZHCtCNcTOD0xSV+sE03N4zgNhEhgvtVASySxyk1u3rsLc6lEfWKcK3v7GBkc4B8P7icAfMKV7OprOuONsa7+VyYQteejSCByfdK6zvreXtbYDepOiCwn0C0PUfKo1ucolBe467JLWHr5BD2RhOO30EILJ5RoKSrLtkV1fhrJE9DUgJamM3t8nOtuuYmejjxDXZ1Uq4t0kSZstlBcH9F32L1+hM5GFwkXCq0Wzy0UWHf3+6lQICYJNJt1bCdEVx0c26dR81BjaZqujSC2n33PDWg2TC655FI8K8CTE5itOczGPM9/5yEuu2AvaqqD6fEJui8ZIJFW2bMrg37pT7MxRVs9WPkQpcYELxz9BgvlCT73+b/CCV2SyST9/f0AaJq2ej569CjFYhFFUbj//vv5yle+QqvVIpvNYts2rVaLVCrF0tISg4ODfPjDH+aDH/wg9957L5Ik/bv9Aj+BQbEYCQSBgluxadUbNMwKc+UF1uSTDK4dgsCjXqpTXqhjmz5dUYpg3mMoGqa7kicjpMglssiKxJoNm/jWM0/z3s/+Gc985bssPD5F9/Y34SZyzDmTVMxpDhx+kXfccB+tGRdJEPF9kI0EPflBaprPgdkTjM+MIjck9q3bRxCFyLKOIsKsVCS5KY6SjPjCI5+jQ+1gs7qOsJUmb2xjbVqFog12AYFp6oZGGCr4QsQTZx+lpdXYlR7EmmjROmyRHInTpIwmqcyUyjiKR0KQSWXSxGIxypUKiUQCUZYIPOjqziNLKseeP4FfgxQJmry+g2JoQyjOTZbnYBPnMIjn3gdERKEAq3LNIaFvc064WlyRcJYVBctrK7g1bB9FVBkY3sDk3CLZzm4cfxk1CjBEEcUP0CUIQ49YXOaKKy/Bci0ee/IRBELWbOwjn8/Tub6XA8dfYkNPB32ajG26RHaIFqrgAY4DkkCgRLhNG0OXSegGma58G08ZCMQ0DU1RUCOZKDTxzSZxRcH1ApYWCwBUvAolp4An+UiaiC9rbYo9QJIUhDAiCCICb0WiWZSQZQEhUgj8EM91UWUBTTUIPBeCNudx5LWJIz3Pa+OMLZvQ8REQUVaywZEbEHo+nuWCq4EfInghRG3JWsFrF9oJUbsOXxZWSG5DcRUCI7zOqHj+PYuEV0U6NESyaowP3/+rdC4sMD01xUce/CeiDpmPXXs3g8eXGdct7t5+GZqpMKZbNGMtBsoNnvRE/mHmKLs6hzl54mWOyhWsVsSnr7uWW3vX0KvnCBIaoq6yhhj1wOHCC89Hj0RiTsggMQZzGUS/xgPZRf7nyVNIv/0e9GSCsrGGrvg19K/ZQCAf4+orrmXmjEg8m8ESjqOLPdiOg+26OJZNq9WgM5/Co8TC7FmiQAVlkFrFZLl0Bs9M4LkRdmhz5GSFyRefZ0tMIyFFpDu6mFo4xKf+8TP4Uhsr3GhVGRgYoNlsYlkWX/rSl9B1va2qCWSzWSzLwnHa3NSCIHDjjTciCMLqJHXu3ne/+91Y1uuX9u1VDS7h1VdKRERASMR7fvEutp3XQ8ObR5NVgtBA0DUiXeD6267j2We/xaXXX8DRyTnEZovjx5ZpNX1+4b57cK1F5KDEUGwNLz51gBPHJ/mLv/sTHPcwuVSOwCkRBrDvkguIuYusy/VTOVakZrXYsm0T+WSMEy8to9UNRF+lbpbpyaxjcW6ORa3Bglmi47y1/PPTD/KO60JEV+fZlw/xyqxDJrcGxxOJaiZxOdamGnRsvBYM5jo5Nf4CkRmgJeKkUjG2nj/CxdduZ/LoHLguhXIJkZCEpBKKKkEQUfQkJHQank+gpjg8NkcpGdHT1YsU6sTSGc4uzdCTyuGiE7RMFEK6UnEaVouUmmLf5i0cHjuJHUEjDNtsBW/QYPicRUIbNysIoEcymg8ffO99dMyfpTJvc99Xv4SS1vj8m25l3f5xjos13rzhasSKx3yHhxm36Wk1+U6g8OzECVKDAxwYP0bU9Gnh8Ac33sYduSG6xTQgEUgRQ3IMUZQ4//w9JGSVdCAxJMRZ25fDnVzihFvnq/OnaPz3XwIjS8JdSzZ/AQM7NqJKNXbuvYRK0UFQQ9yoSSYWYTZUQi+N08rQqLt0dkbUA5nFwjyCWyWVEKmWKxRrDRrVBWy3gh0oHDxqMnHgADtzKYwoJJ/tZXL+Rf78Hz5OILfZbUICRFFFEIRVlinDMBAEga6uLkqlEl//+tfbyryxGK1Wa7DsTLQAACAASURBVDUDfI6GNpk8t3vaNlmW/8Od8J+4oDjAJx608ZU1W8dVa/QbIq3lWcasKilDwfBFnEWboBwjrIrsLiUYCHtJpQZIyyE741dw8boNlFuzXHjtXZz9+jNcfPOl/M7Yd5heeIaZGY+dG3bTFR/hmt2bmVksM9CZJ7JcogaETYXQ1zj43H7UWBNXF0kYWUJZJZQ7iakShekjCM01RFdE3HTfjTw5+W30kkqCkNBx8DMtCtoiajNG2uumJBfJ1LsoOQVczeK6Lft46cgBSs0G77jqTj7z2OfwUy5hl4Ehu+QMg7lqg2RXL11dXTiOQz6fX11NNeIatbBOvJmm8RzooUhdXkAMX3+ZmdeaKIirAyQIgtUq5ddWsguCgB8KhPht2V0hQhREAtdGliQEUUSWVCBCVVTKlSL5ZIKxpQoj69fyyPf3M7JhhGOHDtGRzaK6TfKaQaPRQlHB9n1CReT06CE2bNnAjbdfSSj4xFMKrutyYu4spllGrwTEYzkSagc0XWQVCi2LdV15sp1ZnHgS03cQMwYOHmbQxkabTYtysUjkRUS2z0Bk4Do+GzaM8MqhYyxOz1EuV4jSMlWhRsttYYUW6UR78aOqKpLcpkkIHG8VCxysYK9lQUem7WxEV8B3PPyaT+i02zPy27jPWs1vY0C9EFGUkSQBX3CIQgHfDQiDCNEH327jQQ1JR5BEvBXHJLKiMkhEJEaIEfiRgiisLGiEN0ZQLIUhAiouPobg8eU/+m/saJR4ZGqGE94Sn//l38BtNhldmGNRtpFynSwloDsvE8xVGJQzKJbPrtlpJvyAS5IJfv5tb+d0h0ytWOebf/cFjkpwebKDywY30MoY7B3YzOlig96owZpkkklRIGu4iKHDgWQnM6lbeP+vXUqqZz2uWaBYb3JwtMjVl6xDlHZRrmosVVpI9SkG5SyBaNFyVZq2SiqeI7SbtDwFL3LRpfOpNeZAOIoYiWzsfwv//OCH2LpzHUZyEw3HxTAMTMslHkthNV10fR233Pg+vvbEn0EIWpSlXC4jimKbuhBotVoIgkAmk6Fer7eFYMQ2iwu8WowXBMHqwvbcgknX9f8Q+/fjsnP6WyIgSAJ+5BEBHX0Kv/3n78TxXBbNSTRBpV6VefK705w+9QhXXLKPK647j32XvpdnXjzB3IJJ4cwiVgMyKYmOLmiWZ+nr6ES3RBbG51gzkCaQamhqgOApHD95kt6uJOvy3VzcncEen2ZySuXpgy/z2ff8FkGrSFgxifvdWHYJSRFYbJQoxiS+c/owh+ar/MtX/hDVrKKaC1QPWHRenuFI5XtMNuq8923/hb9+701IkYZlgRhqXLZnO51KByfRcYKAhi0jiBnOvnwGMRbh10NECSLBIRVP0qjVcVSBSFOYadQI63HWKglETccOIuaLJXrX9iIj0nJNXhg9Q1+rgTlfIr3nPCJBRIvLSFFEhyywM9FBbs9eHjvwEjIhISJR1MYXv1FRxYEQ0k7dhGRUgW9/7E9ZM7HAE3WFJ7xxHvjQhxGKZabLs8wpIkq8k2Z3CjlmIDkWqZZOzMmxY+oQZhRjtzTI7/zcFUynRI4cm+YfH/pHTgFvMjLs2THCjOFxWXaYmdoMg7JFn5jnqB3Qm5IJrArHO3tZWv8OfuutV2KlAyI1Q7Usc/CVr3PZvgtQlTSuLVEsz1IomvT392OnfUxPoBEUSSXBqxeoKhJyrIjkbsZ2e6hbDxAGAV3GEPsn/jtrpkZIZLYgp0MSehbJNwj9Cq2aiyGv5803fICvfOcTKIqA5Gcw3eLqojmKIlzXRdd1isUi8KqKbbPZbOtRvKauqFarIcsyhtFWN46iaDVm+FH2+o6A/j+YIETtgeLDUG4tQ93rUAydRDxJ3Ihh+x6VVgOr5dIf7+Li1kXsVH+WXRsu5N7dN3Cjew3r+wyWXZds0MX6Rh/dyyp/9id/znzo0zfQixKTqLQWmS+OUa5OEXhlTMuiaZk4vkMEZJI5crEufvqWn+Hq/Ae4qOMWumIJ4gmPI1OTaL17yFzZYI2Q4cCHD3Jz4+1cnX4rs6bJGX2U789/jVOtf+GZyc/hxBYR/S7QAiIxQAwlFDfBno2Xsmf4co6dmuHeq9/NZY0tGGdkRheL1M0qg6kMURAyNTHJwtw8czOzOJZNcblAYWGRoOqjWQZmBbxQfD0pLf67FhHh+z6e563SNgVBm9vS9/3V15EoIAjtwSQIApIIhqqiyjKqJEHgEQYulUqFfD5Pw7IoVJs88+IrJHLdjE3NMzy8jlQ8gejbrO3pIyErCJ6H6PsQ+ZitOvsPPkOlWWB6YZzJ+TGWq7PEuhJ0D/UhxXTGxyaZn16kM9nFYH4NXsVi6uQZJo+fJrRdrFqTwuw8hflFCsvLTE9PszA/T61SxbFaRIFPZWmBNb09lBYXWZqbRRNlZqamqVcbhIGIJGtoeozA9EhIBgnJILRcvIaFVa3j1kzcpknkBIg+qIJK5PgEpo/XcGku17GKdaxyE6fcwi61aC3WsMot3JoNToTogGBHNEtNrHILr+GA5aEFMpEvEHrguj6e+6rTCYFACNo6eqGHG7mEgoAvto/XG2n7v2eBKBIQIhGyfs0AEzNTPH7gRT754Bd4+y03YtRt5scnmXRqfP7IU+jrh3ju7CkKvocQj+PLIjXLwW7aPH5mkrIUUvEcfuPTnybSBX7/45/g7z/2Ud75/veQ6+liaXGRA5UZophCmNSxw5C8kSYQVcpGitNBnA27riVUBKpNk1otTqsusTR3or0gdBI06i6WN4cXFnBMAzcQCQUZURQwYhL/42/+AssqIUYFNMVGwOeq695C0wxIZRIMDfTz1X95AM9vkohHHDryLPGkiCC5+IGFpottrmpPQ5ESeG6wWvTa3mEIViencrm8UojpIAgCntem+gtXoFDnBIbO3W9ZFrZt/4fbnD9OOzdxBqEHEmR74ZOf+mMceRY55RDrUAhElaefO8noaIu9g9t58zVX0BOPiFrLbBxazxUXXU+lKhNP9lCqlLHsMqLi49ghuUQnQ31rSGd0FM1G0UImxqap1Cr87D1vR/NBqviMHRhnqazwXz74i4iKxOLsDHIggi0irYjJWHE4XS1QEkP+55c/yUh/gubx73H4qQpqIYk8Y/KOa28gE0TkVag2TARFw3J8BFTyqW6KcxVEQ2SpUqFYdTC0AUSrG7mSRwxcIs+mZTWpVUsM9nWTTidwBJeS12J+cQJDilBCl/O2bmBkeADbWiawC0yfPcrNb7qMkU2D7BjZwHK1SefAWloqWHikYgZao0VoWWQVBZkVSXVB4PX7dPwnTBeJxPaOXDIUmDo1ypmxs3zxy1/kvXffjT29TPHkJCeXlvjM0Zfo3Lmbxw+dwNJTtEKNWKaPUt3DEuDxE6dZVEOOVhf5lY9+jJ41vfzeH/whX/rd/8Y9H3wfiY4MxeUiMzoIWpYokceLAnKGihU6FLQYRxs6PesvoOrIhEIM2xaolS0qxSphFMd2Ayr1Ei2nhhs6NFoOduAQIBCFKol4mi/8j8/i+gv4dpWY7uP7da688UZM26eru5t8aj2PPvoQotJCQuXw8Sex3AVUJY4XmcTiCgkjSYSK74nYjkUYhqtz+jm/Ytv2asHua32I4zirMcA5Jhvf91d3nf6z9VI/cZnikAgPHwKYObFA0GHSuS6DEDNoeR6KnsANHASrSVTzuVCNsevu8zl77Bkmq8dQNg/zmf1/y387/7fQvTi4EVJOZXx2lsx5A3z6kx/nyn0XctGOjTglFTWM8dQrj3PD7m4kUSCRTaJrGaK0Qne6B6teoivThWUHdK7N8PBzD5PeOkAwYLNh96Wc+sZpknICMdli3h5jWjhOpMQZ3r6ZhcUKl+07H3ExhxpoNJjHiOsEBHhuSEw0CKKQlmBCXeSOHTdx+KnDrLlmC1EwT15UmLHc1SI0wzBWBS/SSR2plWDuzBJEK1uBkQLC63/lLcvyakCsKMrqliyw+lvFyFmdmANkBKHtTqMwIorClYyUgJSUqbkWshHHDVwUSSXZ0UO93kLTY+hxgenRBQa6OymJdZwALNMinh9k4nSJRD5JsySgqBlEy0HWRLR8J0KXihiG+I6CEEsyt7SAV7VZ5ya5NLkZc6mFXBGYafqMaT5LTp0F16Y3341rtdAjFa/p4tkem5Q8UgMWZytYnoIpSCBncSowoOaIQpfQs2kENnHdQNZUPEug2WoRhnEkSUEWJAjbWqq+GxG5baU6q2Fjmg6CLyEGbalm3w0QAolYKLSFaoO2+EYURaRDrQ0lCAUII6KgzXUtAKIoIIYhyFLbWQoQCu2zK7YDYIUQIWw7JuENUmgXiRp6aNMhy7jTszz+8DcoTkzwT5/5ONHELAdPHeOls2fw+zr48B/+LhyaRvHjfPh3/4DuoX4mp+d489VXsW4ox+2JXfyv576Prsf4+1/9TToTKVqiz4aSz6wms3HnTuYXlvjst77Fnfuu4nunX+Dnb7mbWN3ClEUeHJ8luPTtNDyDqcIhXjzwKHff8et4pSIjQxKGrlOuxmhU6oQsMrdYpTe/DWIBkqLhBybLxRn6+nM8++z30OUaufQ17Ny9j5qToVVNEMo2/V1bSSR8piZmyeyMceEF55MyspiFOmosgxR5fPeRZ1CII9MiVKuE3quLnHOT0mt3b16bxdE0bTUwFlbo+c4FwYIgrFK2vR5ZcFyJNgwoilDkEFeGd/3aPZyqnkRJKVQXXYqLDjMTc5w4Pk6r3uD8+97F2fop+gyVwaFetKkyrjnGldd18PKzFfp61zI7schAlwCWy3K8CH4dZ7lG5CdxmwmYW0Yo23Tu6KRhNinvT2GWLuSbJx/hg2//GeKiRHM8TaLWjemnCSOJVNBEDwYo+xZrtxqM5ByOfPkJKqNJNLOLckeWgudy+5UbueXaTSQyeY58e5SlhZDQTuEFM3TkPDwrDmmRUIrwHFhcLuGqDvFeFdvVWVqcx25UufLyfdRKRTKKSGA5NEWoCz59/cO41Rqub7JcLVGcadLVneWCfVcRLZcRYjFa/QbzR09THotIZHOMFuaou0vYgcMGJ4O3boSZM6eQQxGZEPuHssRvJF7rjKkAbSGjmBzyhSe+SnN+gU/9we+x6cUZ9s/O8ejSacykzsd+43eITk4gq2n+64c/RLa3l3KtzO37ruC8bI495+/g4eeeIatI/Mkf/leG9B4aYpURM8FYVGZkwwbmlwv83j9/hV84/06eHn2Ge2+/Hs1q0JQCvjlRRrv6l1mOEhybGOXk9/dzx63volmr0defRNM6qFSXKVcryBrMzkywdngdiC6CqBAGIrVqi7XD/ex/8VFEN8JQz+OaG66lYhvYtW6c0GW49xryXdOMnj7N+Ttv4NJLzyPuySh+D5ZXR9Nlnn70BXRSWBQQVQtvhf3xh33Jv9XPP3z9tRRs5/wM/MeMNj9xQXEURfi44MOJp6Y4/44RZguz6IGAImpYBJw+WGFTtZvhSj+Xb7uYfzj7NySPw5rMZXx24hP84hXvIyXOsFxWkdaM8IUXHqF/x2ZSosFf/dEDXDRyA/t2X8srL5ykMF/lyq03oKtxJs+eQRoQKZstkpk8hUaBqjlJeelptuauZGZqmcaAT7H3Se750wv5mct/mWRKQZZDiCxarRoZLUnMtDEaCTrzPTTcV1ATAxhmN/F8gpnJaUJPoCvXjeu3O3pZLxGOVsg0h9kYbeV0a5laZDJdN7GVNnetruukEklkWaZcLhO4AevkjRx78vnVtpMiVsj4X8cWsbrNGkXtrPFruU7PXT8X/MOrA+q1RTvn7vddb+X/tSe5SBB48OGHOW/7VuaKRTatXUMyl2Ns/AxbRjZRO3mGro4OFpstbE9AiakUFit0dCbo7x3AdW2kMEKNxdAIEdZ0ko4nSeQiWgtlBuO9jL88iuW0qB0tMNsoU+tP4qoiMV2juVSjO91BZXIBXZSJSzqzcyUWyiZVP8J3ItL5LI2WjWfZWA2TKPBpVIrYtotddJFVBWQJZAVBWMlmwavFd/5KRncFGqG4IUIooggKYiQSBu3su3SuLf2AMGrTHYZhiBCJiEQQRUQRSPJKzkZc6QdRJAiDH+yTc933Wsf2RgEGhiEGEXddfjlv3r4Lr15l3c/9HM7Js9hLDWYkl1Jc4pdufSsZOU5zsJdgJuTnb30rdcmjtWGEC9ZupDW5hJRIsM4f5C3X30wunUa1HeoEFE9O4nfHcJQ4g/lurti+jYHuLh59zkZMJBEqNo7gM1ptMNK1jeVqi9n5cYaGevFpIcgeMcXHbDQRMVBEgdJyCctqETP89qImcKnXq5w6dYp3v+NuMn19yEGBcqkXy20hqzqtlsPCwinWrtmNnshQs13slk9hociG3jyCr2PbMpoQsnXjXtwzy9TccWy/hSCIq30Lr04+P/z+nALlaz97LS/xubH6egyIV01o0z5KiowgecR0AcsvkfHSNKoeD33hQUIvge8E9PUNE9gdfPOJx3jPe26l2XSJJUVyXXGuT+1mba/L8bExlM4+yu4yGV2l4bUoVJc5cdRGj2SyaorJxgLdagLdk+jPDXLmzFGEeI5j42dJKhJOzaQ014RCiN+MI0QZDM2gJLU4ceolnvu7h3nqa9/GnUwT4eBFE4zOLiHHU8xOBtSKddxyGVk1iOsatcYcyVQWiyaW46MUQgRXwBIs9O44brNMdXaazZs3MNDZSWTVCRp1JM8FQUEXZNbGVLactwNFDjEDi1RMIbZhgDNPvcz23dsoFYoopQrdaheCIhEfWUu1XKE1P01PKo9ru+T0LFVNoVQu40UeMjLRvyEI/UYJiAFsAmKEvGXfZVyzeT2R22Rk23rS01XmxpaYEi0qos/9d9zDgJGmNFAiKlZ5/213UJF8pChkV88arNNjJGNJhvsS/NQFe+hPpJEqdQwjpHD8FDXdo1NLsTaR44btWxju7+ObB5cgkURtWviKwKlynU3GENVmi2JrnrXrcsiiRyTYxBIBjXoFIRLR1Thnx6YwWzVEqYVveRgpmVq9xJGjL/ML730HSlbBCEUq1SymbSKIOo26SbUyzuDAZuTEAHXHw7FsTh49w/CWSygvN7BlB8932LJhN874EvOtOk7g/cB8/q+0CH7IXnv937rnP/t8/MTBJ4D2r4pEogZ4jRDLsREVASEIKS62ZYz7hEF2KNt49HuzJOY17rrybvLGEH9w62+yrigxnzxDemucsmjSu2MYW3QpzS8jlgV6tE6e/+5zyKJCLtdJIpGgWWuybngDp8+OomU1Do8fxhRNEj0J1m7MMzs7TVe2B6fhUF6u8t53f4DhDQZyuoYfryNk4sQya+nq2MeaxB3sHHgTlUKRxcYY+8ePEqgbsRyTbC5HLp9F1iRE3afplykZC0hDGhOFCpecdxXBbJWObI7OtUMYqkbCiCFGUC4UmZueQZVk8plunvnmi+CutJXoI7whgpRXC+vg1czwDz/w5+45p2z3w5+tnoOwfYSvbvkjS5w4cxoXOD46xvDICL7j0GzWSSYSKJKIFLXJl/AiFmeWWJhewrMFCFRSkoZMRBh4WIFD1WvhaiFih056IIuSVbBkGyKJRt1kebZIeamC23Bx6xaiA7ITkZQNYqICgoZlh7g+BH6bBzimGAS2T6PawmnaOC0b2ZYJGz5excGt2DjlFlHTI6i5+FUHv2YR1G2iho/Q8hBaIZIVofqguCtHIKAGIlr4Ko6r3cbnBBZ4jZM6tzJvU1NFoUAQtanXBCSIRCQk2hueUvtaKLQZYsI3DnwiGzO4emQjP3vxBewRZYbckLnjx5hYWEZswuNHjnL1234GbI9UKo2/roOenevZvH0Tl23awu3b9xKfWEYwA/754PP8ws1vZ2/QLqqbXJjg2aefZJkWsZbLbNAg0iU2xfPs6d3ARXu2UfRdNAlC2WV0aZFKWaVpecSDDvo7u4nkGqZb45lvH0MUIdVhE0sI9OZ3c+bUIsv1p3GbJTpSGqois2fvBWjxbgp1lXIpQ0iCUBGwvRaaJDI9fpJ0PE86nmXNQA+GDvX6MhEes3PTnDr7An5UJRfr5y3X/zqX7HonYtjxn87EvNFNElYEXZCIxXIkUwaW49Ns2FimjecFbNm2dXXc6LrO9GSJM6eXmJ9rYNkisqEgGj6y22Dzlg56BmMcPjVJ3dTwBAMhLtE30Eu0Mi6dqokSqvQaWfRIRhUUFMPgxNgZ3vTTt5KKq4SWQ1yOI/gQhj5hJBKQ5sTCBLfdtI1nv/oI0aJGYHbjBzqS0sJ0atSaFqrYhVWK0a1uIYhi2F6AaqjEjBS+qxAFMnJDQpd0PMnHTwZMLZ7l+uuuoiOTJ7B9QtslaNnEFQ0xFJAEhYTrk7V9HN/Cdpq4zRq1RgVFNRifmGJpqUB3ZydJI0ZoW9i2Sy6bJR2PMT01QTKdJNBUKpLPbHEJXREJRR+PkOgNHL54KZnrLtjLPRdfwptineytBUivnGZpZp4FbB48sZ973/Vz5D0BW4ZoUzedW9exefsIV23ZxU+t3YZ+ZoGmKvL9517gtmtvYTjVTdyPWJgc48mvf4uz1SLdehIvLpHPptie6mBXf5oLt45QsEGKkjg+jBcqOHYcyw6Q5JB8R7Ltp9F47IlHEYIKcVmnw+hhff8GZidOszD/PEogIQUeuu6xZccwipGnZnaxtBwSCXGcSMIPZIQgZOrsKyRSLTpS3QytGULRFyCQUeUOZuaPM1s4gqI2iSs53nT1L3HDvg8gBJkfi0954z5VP8oEEJBIRCmcuo8a17B9l8DzScWy9HR00+n08c69P8vIpi3cON7PYnSYz8j/xF899Q/8jvkhHog9xuee/zxKUKM8epIocAkTccqnz6K7LmkporAwxl13XU/TXMR3QlzbY9feHRTtIuvOW4vYAaPFMwiT3dyx4y60CYs3DV7Bob89w9qJd5Cu7WJ7+SZudt/F7fJd7PC2IJoNWs4kk1Nj3HDr2wnzGQ7YzzCeeYRIaAtW1BpVFgvTiHGbKNFgihN8b/YprP4soprEKLrMzcxzbGGWWq1Go9FYJciXJAlN0wgdkdpMQCxM06YrixB5Hck5/7sm/EBm+Bx4/hz26FzAdk697YdV7177OgxDZCJkIhBCwmiFbElVCRWVRhiS7O/j2WNH6B/oZfTMabpzWdIxg4yiEUdGdiBohCxOVnj68Zd5/smjTOw/hrncxLPBFiUWrSZeViPs0BgrnCXWqSHGAupVD8+SoAl+ySVaMlGWHQqHJkhaMr1ihmxgsFgwWVxs0Kj5KGKcwAzpSneTkOJ4FZegGaCHMQwzjtEw0BsGektHKAsI5Qi5DkozQm3SPuohcVsl7sjEHIWkpxNzRFQrQm6GaJaAbovgBQh+uBLERhCEbbnjKGqzTAgCgiQSrlDcBUSr/fDaPpJWeCbEH8rov1EstG3u/Zk7yfk+4vwCCdOkPjvHxx9+kIcefZSLz7uELRu2kh/qZ9ouoi2WiVsObr3Gi6NHeGb2BE/Xz/KC3uL2nZfixFTm4qCensepVPnuC88Q37aWZCoOXWmchMrx/S+jWj6X77scV1wZn1JbrjQupRAClbQyDJZKobhAMpHhxqvexZcfeADTmmPt2i6yiWH6uzZzeuy7HHju+xTnZ5GEiKeeeg4v1Kg2RA4enCeI4giSiGYomK0aa3o6GRs/SbE8h6r7VOvTzMyfZG7uDKJocXbuaZr2BPOzBbauv4FNa25m2+Cd/78JioVQgUgmQqQZOYiJFM+9eIbHHj1COfIgr7H5ki28/Zfv5LybNrMYjqIZPnosxUMPPcNLL00xv9xidGKewHfIJmv0d8LTjx/BdnpZNCPK9QbZdAe718GabDejR04xOzFDVk2DaxOKDYr+At94+tsM774YhRhuU8YshYhIeGKV6eokpxZmuPCKy7lix15aY7OEVYd4qhtZ70I3MvR39SAHDkuzMyQTHdTsBGOzZU5NjZHIqTRMi4PPnuT4S6OEroEs6RhJnZeOPs/Nd9zE9NQc49OLNK2QZrMto2sYSUrVFpEcJ4fMiJxisbwMIsRCMGIamUQMTRIZHh4CWWKuUKBsmuQxkGsuWVlhzboBXpkdZykh8r1XDoLjkBUk1AhC+Qd3Ic75mzeKXxmse7z/p26m2/Uozk7iqB5HWjN84IkHOPDII1w8sgN3sAN3IIVMQLoQEW/JBA2BA2cmeOTkMR4vzHC6vMC2iy+ku6sXRVSo1qvMl5c5euQk+T1b0FWNquRR9lqcfGE/ul/niisuJJB1RMFAkjRyuTxxUSUKYiSNDJErUCmYpBI9XHDhNTzx2L+AH9CV7SRyBbpzGeZmD/H8k89SWV7E88q89PJzIMVYXJIYHV/GciUUNU4QyIR+wEB3mrMzTzO/MEEk2DTsYywszjI7PYMWqzFfOoDtz2E1bPZuv42NAzexa8NP/1j68ycvKBaAACQi/g97bx4l51Wde//eueapu3qUulvzaEm2JVuSB3kAY8sD2NjGDhhjpgCBkJDAJbk3+fKFfCQrNzdkICFxwECYIRgbDHgeZUu25UGzulvqea7qmqve+T33j+oWbTPeG0gc1rfXqlXd560qtfY5tc9+n/PsZ9drFY49NkRyroV0q4qeaCfbYXLZ1nW8edNN1I6OssaLMXSeyt/c+w1u6LmYzWs6ae0McXntWq44+0qqKZeiopAvuJiKiRuuMDk1x/ipArKn88ef+B8kNrbhhC3aVnZiWhBWYnS2t7Jm3QaOn5ygJd7FiZFhol0pPvJ3v8fH9v4Rlytb+J3eD7C8uhKtkKIwaLFry+sYnypw2utnUD7B3fd+G+tgO1sicR489jhPPvsAB4b2IVpletMrSNfbaIn2cFvoajZ0bONIeYDh/Yc5K3w+ugiTNQLSqQRJI0mt1oB4gCe7aLZG9YgOPphyGd0HxQfnv0I8kXhFYruICC+iwkuf89a+fAAAIABJREFUFxPmxaR5MWFb+qwqUvMhyQQSeAiEZpCv1xicnOLFgVOQSJHKZFi/fj2NSpmV3Z1orkNCKJizeZRGQFxEcOY9qKtMnZjnvq8/zA/veZKRUzly0w3MQkBYxNAqgnDRoUtEiOsJMuE0YVtFLwckqjLhok+LZ3DFtgvoi7Ux8nI/shzBD3TqJRNV6AhLQCMgpkRQXQXFVpEtGYMEvqXg1sFryAhHwSq7eGaAMGWEIxOYICyQHQXFVRFWgG8KVKEhXInA8XFtl8ALCDyB8EEVErKQET5IkoJC07+ypCBLCpKqNh+ygiQ3xxb7IcvIC/rEMvLCsyopKAvSeK8VCxZaN0MTBZSW5HWxkMpaxyMuBMPtCcZ7s3zlmWd4x223cNsf/i7T1HjimScRkwXikxVGR8eZPjbOiaPj3HPoOJ998CGKp3OszVdoKBbydA6qc0iSzUtelbieQbMNTsYVOqdtWucdCm0qqZiLHhTR5oqUXIVq0WC9aKfSDpFECDNioCdjpEIa6USaKVdldLJKqaYwX52l7B5gev4gKzuvZHb6FF/6x08Rtmo4uePEjApRZ5Ti6ZfQgwlCikCWNPRojXi0AyeRJGfVKE+eZPTAPt606w04jsxL/YNcftVe8pUarj6FppyiJ6mzLXM+CVajCLWpRIAMQn2FH/+r22LS5QUyiqaBZmNbRUruLOWGTdWWQE1Sbricmhjm4NFnOP+STVx+7XZWb0pw4Z6zeem5IWKJbubyPqqeRag6kl9hTUcL7aFunntqgLmaiedKOHWXszds5tSR4/R2dxFPRYjHWkAPcOR5CvYoDcXClWLUSylqxSSemcW1DSxcpJjKI88+TVe6C7UeQXVhaPIQR04/TzzVRshYTVyP0xE3yM0co2hNUgl7FOw6vRt6aLhF4vEok5U8XsmnIelEUkmGR06TioYRNmh6nINHBvGUEHXHp265zf9TKMFUsUZ7KkvEldGiUVRNR3XBNh02rVmB71nMzs5QcxzccJiKLOP7TdqbHPhIgU/nsm4efmYfphewoq2Ls5b3EP4pa+o1V5i55DDs1editYhGr10i61epdrQw3bqcz9yzj9+68Z1c8ecfwRQw+NgA8xN5rNkhTp8a4NSpU+x76XkeO3KQh/Y/xez4OMlpiZQsIU2cxqoXSBVdRtUaAwmNBFEqEY0VFRXVlZhvSSCiaeKeQlCcpkAFe7ZCux+iGguIxiN4IoMv9RDNyoRaa0j2Nk4MVZmqjJNz+2kow4zPj9LVvZNKaZyvf/Zv0Gsm1vQ0WCZZdYbhwydRpBmEWkKOhgmiNnqsh4q6nnnPpJE/xdSLY9xwycVUrDz7XjjFnstuIlf1mHNHcNx+OqIau9peR0JsRJEXnSc38Tuiv9Jp+7XjFAMLbc+aBVm+7OFZgsnTNVLhPJmoTKNUI61FoV7Cba+w3TqXs3adgyxS9GU3cO7MRWxWdrJ/4EnuGfsmlTYdPZZCr6poiRb0sI8qa8iKQl/fakb6R/i7z3+C97/tt4mFWrCBgeM2N37wFh448BQnX+hn04bNjBameP9NHycbzWIVSnz38Qc4e9cmztlyPnd+9ovkSlN0nTvFH37q7YS1GB+64pNcvObduOV1nNMZJbM6ipxY4N7lfCy/xsRUP2kjjBFKkKzqJNUQvauWczD0EkaHQ8gMUy9YCF/g6x4hJYxb8xk5PtmUUtJDeJbX5Gct+O21bD+NSA+cSYAVRTlDrG92t1NfUbyzlKOkLRTt+SJAVprXiuUyqXSG+XKpiX4qGqeGhlm7Zh0nh8dwA4mYYSApMt2ZVqarFao1i1A6geXWQQ/QCNMo2IycnESTPTpsHb0lyzLPoDI1TiSQwfNxGxYRQ2tW5xcqpGMpOuJp7Gqd0yf7UZCo1xsLDXUVFCRSsTihUIhItpM5z8eu1ahUTVTFJxAKAT7CC1B0beGIMSBAQhGAJCEkCcdv+kdR9QW/ykiqhAhk1AU0XgnchURAWSioE80iOUlqcrBlCSkQOEt8DeAjkJGayaUsvQLFcX3vzLy9lgBFeeFvEU1I+xVCLJVajWwsTXFgiIcPHGBf/zH+2x//Puv8MFpE5ze2ns/XH/wuX+o4ySUbthIZLnFnpZ8Js8qf7H0r2ZrPcweexoqqtGSS5KwqbeEwVE3iDZ9d5+4g4svEFY350gyjxTnG5ovkM3Gy4xH+8cD93Lb7OhJTdZ4vDHB1vsi4LyOh8bV//gJ3fPh9dHe10N4u2HPRW6jMhzl++DQvPn+Iiy+8mWR8FW9+z3ry+QamafHWj/x/3HX3I6xbey6H86e5RI8hWSlqFSiUiwyNjrJjSw+a5POtu77Eb1y3F81XwPO4YMdFJOgkZwk60hq5eQeUCLFsC9ddfRvfvO9vsMT8j5wnLYqX/XqYLMtImoyHyc3vv5CeLa3YksaB50ZJdrVh5mMcffY4Y+PDvOWWK0kYMul13VjBSdZu7KStJ83oWIlDR57mLbdeR4MKbcJjQ/sqNrUKvnbfQ1x4/U34ZhWDEH3tPex/4ikimyXsAIo1h9EXn+TiK3q59PptOC3dhOPdyM4qitMaYTtNozqKnJFQDNj9+mtwcyZyLglihnSfS7KjhUbJwSp3kA2XUNRZauYwh8ZH+OGhh/n7T/wZ+VP7MOfK1Mome1ZdgmIqzOkuLxzYTywms3X9ZkqzZRqmxEzVJJxpR/GrJA2ZyXyJmlA4OTpDb08fuiczGwjchkPEllDDGopdIxk2sByT6ZrEVL3BhFmnND1HdyrO1uXdKB6EREDCUwmFdLKKQUsiw1FOo0j8GKd4aavw14Qtxjfpx7fVuG1jdGQ4OTzMw88c4vlDh/nUb32UFS0ZNN/m+p0X8C/fvpfa6l62re7CHpvhofwYs4HFDXuuYJmjUnj+Zepxg3BYYagwTWs8CfUGRsXlTdsvImVLyLJCI1+kUaqQyxXQwhHcoseDjzzE+666FalgMjl6nIxTQBYGuqLyg3/9Eu/63Q+yvKMbuzeCrt3CzDgcfnGQI4ePsefSt5JILOPK27ZguxaFwjy3fuRj/NO3vs6GDVuZqg0QBK8nq/QyNQm1XJ7JqRk2rl9BSIN/u+uLvGXvlYS8EHaxwFWX7SUh9VF0fdrTJrmCTciI46oaN7zx7Xz9hx+nYYNoCt3zq5bJ+vVLigULizBADnTwPOJqGjdWRlWgU17FyMPjlOQxeqXlBG5An9bHbGOOo5khOs9bxfygxkCln8PeSW744A089PJ+So7P9OgELV19GHoYz5GYG5tmTc96FF3m9973YSrlHHbDZ+O2bQw2xlm/to9sWwvrNnZzeOghZl2TnhUXEpEMbn/rZegr2vinf/gzZianWNa+imMzX+UzL53HxZd8gr/61FqeGbqIP73pH4lUbkSajzLLNNXpInO5KbqzvagRmapbpCXcTZtpsJoOWhGIqoWhGEzMziDlHCJahKpTobd1Jbod4/ATJ2hMB+DK2K7fdNhix9LXeJ3dogTb4uPV3OKlR7hLi/GWosuLnyNJEpIIEGIxSWuyqqOxJKblEEmkcX2f4bEZzs20cnpshk0bt3Ds5AnWbTiLl0+cQNEN0pJEoOsYWghJlhFCxfI86m4DXBdBwFBhACs0QSiZpUdJ4zRq6L6JKJeIpCIoPkSjSVZ39rJ+9Rr6+wcpFcrkcyX8hIwnmhoPpVwdIxrBi0QIGxHsmoljeSSjGRzTxRdBM2yIZvMS12sWpsgLDAghBIq0+LWX8KVm8ioQIEsgS3iiqdChCJlm4yXRTJqRUBZuMJomIySBLwRNNeKmT+UFv0uS1IRgpeZDALJQflRs9x+2an6+SaKZEAtYkEpqjslAVlGpF6r4ls/09DyXX3ElsXQrjuthpXW6ZhVu2b4bORqivP8olUSEnq4uPnj5lSwbLDM4eIpTcZ+DB55n8/btPD1Z5ppLdiMHPklPoSD7RCQVPbCRwiGiLSmynRmsuodte5QLZdLJFJMjdVqTUVynghOY+BRZtrmD6bljdCyL0dat4ARQqc3StayFzq4rSCbjZLuioEVY1tvDfKFIw5pn2zl7qJZkgtghyrVDWIUsgdnC7MxRRGgYM6cwnZ/j9RdcTFuqDVF1OTh4lPN37CaqJunI9OFaPnXbIhqNEm+N0KhFkNDR1DCOZy8kxL8etvQYN6lLtK7ppm1LK5ZeIKYmuXTnVgJiPPHMSa69eS/zcyMs64iTm5tAlsEwemlrgQ+9by9/+cmvUK0o3Ccf4Y03nE1+8jm6+xRuu2E9c7lOhl/IsfX8leRnH2Oq7tK+cwubrkhQ2in4xDu/RvqBOr9zxesoTBxjrecxfPAE1o4VCNdGONOEghINO+Do4UHae87BNTtA0lCsNSSclTQqDtkWnZo8iyLWEfeTtBkhRtwZJpMVcvlZFEfH0FYx4dVxOmWm1RHKw4e5+eYLaVRmqJfqJOLLcX2T9LqLUTvW4VVmcew8gdXAMVVi0TiOmiPnGHSbaRrhNJ7msMyXyYcE6UDDcwXlhorphpmdGuGaXZegBCZevYCQJKK6RIem09PSTUs2wYl6gQLg+yqS6iG81y4V6xUY02Ix8kJM0Xwfp1zDqdiMDo/zhtddSWdfJ42gQUs0QbxS520XXUQskBh/4Rjzhk4mmeA917wdeSTP0MgAA1GfA88/RfdZa3h8bJbrLn8DmoCoLdNQPTRJQQoEkqaixyKkulop16oECCqVEoah4LkNWtIxAreGac0SMqr0bVnO7NwxujriJDOCFidCtVpl9ZpeVq7tIJmM0bUsg+0pRAyBUCL4vs/28y7HsWSK9gQVc5DCyTGws8zNnqLuz+HmQszMzbL3wktZnunCLpjMTsywuncdETlBNtlJpVSkajYQikpnXxvjhTEIDHRNxnYWVaZ+tXHl1+cWfqlJTbd5XoAcSAQNBasqkCwbsz+gy+xheSqDnlBREykO1Y5gZ03u/v43+ej/+2HqW6f44crP8Jv3v5Vwq8SO1Vsoz5WoxUwCPaDuVah4RdZsWcnBwwdo2A3qNZ1sdg1veuNNrF2/jlNDh7jvgW9Sqg8Rao3xnaMPku5IEyiCD3/0g3zuq//CX9/5Z8w3xjGDeSanh+jqiFOpnOCOG3XyYwPkqrNcfs315DyYjx0hSBUYmDxAslNitDJG//gY01NFog2DzkaEleE4nV0ZRsb68UoVGvMNEokEhqGTzbZQLtYoTJSYfdlFcVRUSV9IZl5DkN0vYEsT28UK9VcX2y1FgxfpEkttqUSU9Ir3LjQQEM3iME9ArWbScAOcQMJ2fTZu2MyBp/fRmogSlgI04RLVFfxGlXJ+Ds0TpIwISTWM4cloDshWgNdwED44rksuXyARMkiGNKKKTMLQWNHZQWsyiW87HDt2jFKpRCKVBOEifBtdEUR0mWUdbXS3txMNG/iewHE8LMsB4SOJAEl4gEBaSPYX0d4Fx5yhByylCSyVzVrq41f7e5GnfebzfoLvf9IcvLqC+LVoQghkpYmISq5PTChEA4WdHR14tQqFSpmuVSt57LEnGDxynMnhMY4cepnS2Ci1oTG+841vYhkKx6p5bll+NvrBUzwy/DIvhGpI0Sgfu/1tvH7juTx5aD813yEIaUTKNs8cfpHA94lrIWqNOmXbZNO69bQXPQpRidsu2UuoalFPqpwTyzKV8ElE1hAPr2TdqvO5/74nUGSNaEynb8VyNmzYQM/yPtZs2EhLRxsNt8HE6IsM9j9BfvYwE6cPEpPqrO1q5Z1X/SsP3/0UX/vs+/nGN67HEBMsi23j0BMPYM9NsnXlGgxXYWxolM6uVjLZGAQmyYSBpkn0nzrCg0/ci9CqNOoult+sWziTEItfjy1GCHHmBGrebrDtoi2YAWihKJIa4DBD1RpA8+LkcyViiSgjsyN4hsRUqYgnQ8msooZkdu8+G8kWHH7mZWLxLEZsI1UvTrrbZe/e5fSGC8TcGi3xNYyOxPBYx2DFJuhw+dj/cwNf+eKfE8Mif2oGyZQZODGI5dZpODUk2SeeiGJZDpV6A1kP4dng+RJ1X+BFolQVnVnLxVXDlHyHGgF106S3vZ3G3ADhUByrYRMIm5ABgXCIhrPcdMN7KMwp1MsZrHobodAy6lWI6QFWtUwQ6FSqglA8w0xxGiniovqCcEhHT0ZRUgZORMKNyEheU7LPJcCVYXR6kgaCmK6iSuC7HrFImIihU3brdGQTxCMavlUnJMmouoF4DYuTwJKOnYrSrFBeiClJ2aC3LU4sb5Oe99mx5izue/h+Hhl6gamRYV568SjF0Qkao6d44J5vE2BQrltcv+tS5Ok8p4b6GXMq1LrS/MGH3s815+7iuRMnsGWBq6tkHI39Jw/TUAV1Q6IiecxaVbo3rEYXAk3AdXuvwq7X0Q2Vjo42vMAjm96IItpZ0bOV+77zIBAQT+p0dWRZt24d7R2drF67npaONqpOjZnxYUZPnWRmbJDh44cIez6r2rp59+1/xxOPHeXLd36KL3/lz7H9Km1ta3nx8R/gzE2yqXcVQcNjZHCYtvYW0tkYnlfAMAJkxWF4rJ9H9/2Amj2L4/hYjguiKanatP8fKf4/MokliA8KsicxdGScjTevJFTIkT7Swx3n3IFRrlNoLfEk38E8VeJd2ffydxfeSYEKj9/1A05sfoq3Xn8lf3XlV1gVrOa0NMFQpkBdTPD2972d83adz+TUNN/59nfZ/8SznL/5Co68fJQXjx9nrjLNN773Vf77332Mt7zjWrZHr+Ndb/og3/+373LRZTfypbs/z7zsUpqYot4ocHL2MXavuZTp4/MMfb2Nj71pOa5eIhAvUvKq2C07mPNmqI0G7N69E12otLUmkGth9HKDVVIHG1tbmKge50SiwcnESSy3QntHhggx5MDHkWxkR6Yl3AmNMQLPIziTDAdNh73GgwyACMQZDVRJkrAsi1AodEaabZEq8eriOuAVnXEWE0Dfb+o4B1KzJTELBWO6HsJxPBRkbMtncr7Gpg3rKc7niBguu7efw8jIEPGwQTwUpmw2QEikEhESER3bExiShK8ZaIqO6jSwHZf4shYymQy1qE8wNUdrGCbLeYxwiN6WNPNzOWrz8+iGgaIrTJdLaCokEnFa2tuQVY1QNILrexRrNRACTTVwHI9IYCEWdIF9FHzfJ6ZoTYTWBxYUIJTFmCKBJAdnfg5E0BQ6EgGIAKnJJVjwV5Mh3Ky6byLJTbS32SFQWoIGiyWakE1N4h/ddgUSzI9MYpZrBP6PgpskSRngG0AfMALcLIQoSs0P+ltgL9AA3iGEePFXsbYWTdN0hO0geTbLkh28/XWvp1KcZzQ3yYtHj9NwTRqTM0SSnYS8KpmubqYrBSpKwHdzA4wPTXPz2h24kiDfFuKrd9/Ptz76F0h2geJEHRWdSq1KJKwSkVQmGyX0WARbsrAsC03TWN6aJiYpBI7DsrYsqiWBqqAoTX3WtJIkpPnUgnl6etdw/MRRYokMsWia/HwRRZFIKnHAY3i8H9s6xMRYjlNHjkCjxMbzLuPSi95CmhWcs/Vytm27HMux8CULw3BIRzVef8kFuA0LL4C61Uy6Qgkwa3VkRUFRFFzbo1KsEtbDhEIhwqpGzZxFUljYyOA1f/z0C9hi3YLv+1zz7suQ2zKUnRTzIxZxyaNamWZyeoz+50zWbdpDuMXAC0XwiHB6Jo8aNonG66R0jz2v385VF7yef/mHf2ayUGd6bjm5dsG2VTPsOLeLbH0VUs5l/zGP4dFOuhvr+drhUXq7G1y0uo/ZI+OMP3qMyGwHvp/kyMvHmXzDDG3L2/HGx5sqD4FP76q1dPatRZg17HoBNeZT8vK8MHiMw4PH2LH1Qi46bxW1uSJyEKE8Psz7dp2F7EuYNRPhzaFHQ1Smi3SffQnDgzOYtQ6qFYuo3snIiEki0crk0FEeeaHGuZ2rCcVaaDRmWduxkkxbkvnZEtVyjSFRI4fJ1NQE2WiEmOWSaE8gGQbReJbG0ABbzlqPaJSQPBtNlZEBRVW5aucFUJ+jXrBZ3pJmqx7nxckcdVHH56cXdr6WYooiK6iBQPYdWo04N+3aidewmC9VGZ6cxkKQHxvn7Eg3FV+lvasNuzFPPiy4f+I0helJrt51EVWnQa5V5d57nuFT//1PUQoz2BUbD8iVCoRjGfRA4vT0BCY+KDKWY5OIxVnWHkMjILAtlnV0otZVZEUHVcYNFHQRQ1E7EFKZrt5V9J86SjLRAkIjN18GWaHNyIJiMTB8BMmeY2JymMGX9kPdYtue68m0vg7ZPI/d59/IOdsvZS5XRDNixCI6RTngwt07UGWIp1IoIRnLLmNLFfBVNEMiEolQM+vYDZdkLEmxrhGLhCk3TP6j4sjPTYolSboLuAaYE0JsXhh7zSy2n2USCq7lkp8uMD+nszWc4E3bfgP7kMd8ZBapPcxkaj/Ln95IzEwwo8+SV+cxnDB/rP8z/lkxQkdiWIUye7sv4P6pZ3k+fYJP3/lJip+u4hkShWKZa65+M7/7oVthHv70Tz5NXI1x+7t+ky8+8HleGDnIZ/75Tu5490f5+09+le50gsef/gF9PZsJl8Moyzbh90h4eY/12d30/9s49//DD8ksS/KRP7+cPRsv4Fm5SP/YCFJ9FaFGN26ljIZB0o/Sq8XpznRjF+dodFQZ6s0xFpvHE1ByGphlE12VsaQGaX0Zw/2jTb1Z/B8x/8XiUXGzc9dr28QZ1Hdxo4If10RdRJGXJsCLTQIWX99s8rGAYPKj43xF0ZDEAi+WZoOK/HyJ4ZEJQnjkZ8tcuP1shgMHyZcIaTECDMKqRjQeY1l7O0KFueI807Pj+IGDF7h4ioyaDGNqHg0tQBE+EUMjqyWIxNNIgY8iw+TUDNVGFdeWCUXCtCajRBNxwrEIQlKomjXy80V8oTYTUgVUXUOx7AWqQrMRrYSEKoHnC2R8EHKzE1SwwGogaDbhACRFRgo8gkBA0ESTF1E+EQhQfuQ/Icln/CjLP+ISn5mhV6DMr549iGSSRFvTzA2MLr30ceARIcRfSJL08YXf/xtwFbBm4XE+8JmF51+qLd5IS4Dk+qS1KMu1OHfcfBvt1UnGxk/xQv8Jbnn721jR3oE3MsyBwhyronFmDZ9MMsPF2XXsE0Wmz+qgElVQRnM89cg9/NF734ve3oI2mGfi2AghRaNWq2F0LKMj00ojqjLfqGJ6DZLJJOXAQ67ZzGdt1pRV8lEwgNScxGO5EbaaKg39RUxpnNnaExTdAzx68AtYjkM6KzE9PQeFMiQ1Qq1xrn7j68hEAlbsjrP3XTuQhMfseIl/+MKtXLr5A1zwujsYGPOZnp7DtZ7Cd17i1jfeivBh+NQpRoZGCcdUhGZTsqcIaV3IUoiVKzaRjHexed155CfyVOo5HK9OJKph2gva2GIJavxf2IIgwHGa7a7XbtrCsZEpUpk1TI7mGcnnCdwEh5+chmgZodiUKjaKkaFSCojoy2nYMg3hI5ICSbVYtVLjplu380/f+DI3Xv/HTBVclmVAc10S88txTp2iUm2lFhQpOT7z3jmkahqlhknhyQEy8xsJ6gZEwgj6SbRmCOwcjm+hKT6z01NMVhWStRqtXgFDtyib0xQbOfKTRzAoMpebZLY+i4NFd7qNFXGJUHWajrYk4Z7lzJyeQld95vLj1BsOklUnAJKpdnwvgqH5zBcH0TpaGRqZ4ZyN3ZQm5unWQiR9BX+qiqG1oqSz1LHZ98yDRDSJ7lQHvS0Gea9KPJPlOw/tZ9WaVbRm4sh1C1VTITCoNRyEU8ORdbpaUoxPjOL6MtlkB/bgBL8A3+8/PaYsmuwFRNHoMTK85213cK1T4/GX9/Nw/wne/N7f4uJ6jbb5eZ6tTpNqWU3S9zEEbGzvYbyh8b01BZxKnfhkge8/9n0+9Psfoj3Zijk7xWT/OLoCDdNE64qSTbWiaRrC83E8i4wSQlYDchWXUFKQCUdwm52VCITO8YFhll8bpSEfJYhOMl98ginr+3z7qTy+ZdKzPMX41DyiVoewhNoS4oZb96ISYuUemb3v3UajWqdRGuHOz1zFNbs+Sdfqc1HVdnIo5AuPk5t/ntve/k4CT+LoiaMMnjhNPB3FoYZj1DDcFKoeYt2abbS1VtmwSlCerTKbG6PeqBCNxqnXzUVv/rKn6hX2iyDFXwA+DfzrkrH/1MX2s01u6s4S4Cs2+BJSOUpUdGM/30OmHiJdO4KqnM3xiSOcPNDCJy54O9LoPPpZa3jpqad4x/m7sCclpsIKxahMu5YgbvtcvWIPEUXmm/3/xtHaYeJhn7Qc5ukn/oVtdz/ExrM24rs+Ul2w93VX4NXqoNYRls+37vwsGTNFVlnObOVZZk4/Rrinl7M6dnL6xCTTbpF0ahvKZCddrMQbNvnb2zRMS+A7SS7OvoFnO++jYE2TbtlMstjOFaKF1o4OijMzvBAf4N7N99Lo8mmUfKRYhHjYIqgFWFKVZLiVVL2P5x97ikVwcClrogkU/1fYvF7JH1MU5UxL2EVN4sVWj4Zh0Gg0zqDHiwiyoig4jtMsulMMAuET+D5aAIoiNWkIUpMjK4QMskKgSoyMjXLOynZWLGulNHacs1f3MDw+hlKfIe5ZRAwfs1jDNc7jLbfewrFjJ5hJh0klElSL86zq6yUTCxExZBrRHOO1lwiFQuxZu5l0uoWXjwxQqjTQZY0VPd3IRph4exe6qlA3LfqHxkDVmJwvEApFUNSAcEinXqkS0lXqxJDEjyTQVKmpFxwID5sAT2sWvoXdJQitEMgCNFlCEioyAilYaNG74C9ZVs743Qt8wEda4Mj5uGgsCKwHPy6u/moMR0EhFo3i2s6rOcVvBC5Z+PmLwOM0Y8obgX8VzQ89IElSSpKkTiHE9C+6YpYWZEYiEWy72e0wk8lQq9XQNI26J8BuoHoujqpRVQJuv/YCLmrxUQsSD5wY54Krb2RnpBMFlb+2h0hbUXZeupWNjW4xAAAgAElEQVTliszw6CwtiRAXV+NsXbGZB198iWxnF1U9ghYOY0+PIhyHo7VRNqztoyPRzsp8gqF4jLZIlIHKOOuNJFXfplwt8vTQIJs27qSrPcNWb4aB0xM8q69m1vE4PX2Ao/3fpVA9zW9//C3UvW3YooqkSBANYZkBCIXx6SkmZ8ax2z3CqRSqEaHhCBzTJ7oyw5s/dClPfvNzuE/ZlGoxRtxn6MhOsTzaTnFuhkcfeYIduy5m/da1PPbM/bR1RXj0mXvZfe4NxGJJtLBGd6vG0HA/Tx9+EMeaZuOKCzg0/CwoOYTsIILwz+SO/zS6zmuRJxqNRqnX6wSNBu2pLA89tI/ihI9TKHHrza/nkgv3ILRnIRJj33MvsHXjVmKALZscfmGIi/fuRYt2MDtfYs5ROO8Nl7Jy807+5n/ezU3Xv5OJ/Q5106VU8GmZ9ZAjZ+Fpp/nBQ99j662/xfRxm0J9GjHi4FoCN6Ywo9Y5OXmawclplguDdEuG0WMDbNqynqfveZwe38Jvj2PXG4QSAX1SmM3rL6MyMc9wzedr9/wDhYbHp//ok1TGTmLkJhgde5p2PUQslGS6kWdiaoinnr6fbcvbsf0Ay5rD92OkkxJ6GPY9+ENsx4eyy3WXXEm56JMWSSJGkjnKzFZLfO+lfXh43Lj3TaRrFvXCBJFIlOHpGazApbetk4gR4MwXcLyASLIF2RccPTnA+s1badRLRMJxFFvCrDQQQsL/+UnxLz2m6Lp+Zu+IRCIIIWg0GgghzlwD6OzsJDedR8JDNRRcWadRt3jbdRewo0sgjpZ4cGaCq6/cy87WBLoc5S8bOVblk6zb3UOL7lIthEmFwyiKz8eiO3h8egJTF+TCCng+dmEMoagMOiXO3ryRVCjCqukGx+IBidYQ9tw0UgR6Emmq1SpPnD7MOefuIhuOEilNMlKfYzB+Dqd8m2DoUQbH7iNXPs0HP34jF7p7CFQLIQWoYQPbchFCYnh8jHwhhxkJMEIpJENg+kWUhEIkHeOG372Bh7/+Kdb6b8cVnQxUHqctO0t3NMvk2CAvvnCUjevPY9uOc3ngobvpXBbmhYM/ZOvWy6maEslEG4lOienpCZ49/hgz+WPsOOsmDhx5CGQPBVClEHJIZtmyZQwODr5ifgzDONPh1jAMMpkMc3NzqKqKbdtnvsM/y35uUiyEeFKSpL5XDf/KNrB/ry3dhEUQgKSgKyr99x9jQ6ONSCygNdWLZqTYFdnMtbHNiEIIoyWNmJnjoi3n8tEHv8BfnHU7Kxoh8AX4dWgJE7FMVh3P8p5V7+B+83GWre3DsgRH5sf427/+A9ZtXsWunZexdvlGTj0/ycde/AR/e+//4q7J7xM1MyzPbCAh24T6EgxMv8CRWj8v7Rtk84bNNOKzPJk7QczU2JQ9myg6UVNH0mOUUw4HZx7FSAXMTSkMKPeTaS+yXflD1KLgqS0vMdMyQ2O5x1R9hqgXA7NOw3Zoa+nGFyrUNB763lOgSsiB3ESKf3W2afEHSZL+BHgPkFsY+kMhxA8Wrv0B8C6axI3fFkI88HM/WWoGpsWe55qmvaLf+dLWsUv5xkEQ0Gg00DTtzJjneeiq9goZt8UEail/VtM0YihEwyFKuRwJkSIb02hNpdiwYQOlahHHreNbRRy7jtSe5fDBg0xOTjZl3Go1qr7H9OQ4XjKGa9UwNI0Ldl1Ia2srsxMz+K5He1uGlmW92JJMWdbxFYXx3BwnRqepNyw8VcNDoSWVxnI9dD2ELKt4LjiuhUqwKIKGLEAWEkHgoyGhSgquz5nE9dXm+/4ZfvHiDYRuGAghcF0XbwF1X7y+aIu+XTLfP7vdahA00ewfv96+GCeEENOSJLUtjHcD40teN7Ew9mMxRZKk9wLvXTomyzLd3d3ous78/DylUgloBsxCodBEZstlkDWi0ShWvQ5BgK7IXLrzAtLVMrPKFFOlObrX9CH7BpIBjz76NHf9j79Cr9VQrIB4NMH3Cy+i9naw8WSe/VKeu/e/RNyxUHyB3RajPDVFsKKFlBC0tCaxLZ9axcUfLRJvBIQkiWot4Jw1W7n/2UOkjRSKFCCl+2gk4KkDh+nctpKHDn6f7TsEv3HZrfhag1AojnBCzfn1axiaju34ZFIpFBUiWhjJlDhy+DDRSIR4LEk6lSKcCHH2xet59qnvoxhJ7PAArogxORZhT1cKXYuQjrYQjkbYvmUnqDX2P7+PsYHPs2b1ejo7u3nu+WfQdFjZ28umDddQbBQ4OnwMX5RBckAKfupaWKonvvQ1S9fPkvGlMeU//KRykXql6zqKXycbT9Le2kCyCrT0KKzcUARthno9zYnBGVQRJx6SSRoebbpLqm0Tut5GsbIcQ1/Pkf5D6EqCzfIQf//77+BrX3iEiGPQ0tFNdX6YDsmnZKk4ns7sRB5D04lQwJvPExEmkuLz8swQ3zq6D1OYPPzYPt6y+xKCWpXWbIaDhw9SsypM5SbpW7OFTFJG1Mps2bSJ/mefJxOPEE4JSvGzuPvhF5koNpBcHVmNsn37Sg7e/QyyL6OqOpIMplOkWkkgVLA8D0XVcH2FWqHOVZvWMJuf5+T483z57tPs3nwurYGOW2tAwoSIzrxf4p03X41Sz2FNzRLoGq4bkEymMQgh2R6RsEIomqBUa1CsNvBVg2LNIlcoEyg2iXgKXTiMn55CKHITiv3ZOM4vPaYkEgm6u7vp6+vj3nvvBZoxRtM0HMchm82Sy+UwDAMBxONxjLjBXKEKgceF555HGoeyVWdgJsdHtm6h6nu0hQzuvftu7vvbz+Hlp1HKNq3hJAfd01SiOmvHinxbnKS/Nk/a9dEDhWImRn1sGr+3lYjv0tHRSsVsyuLZ4xXccoVMqoPc2AwtsQwTx0bJhNvQJQcRlygaAd/d9zQrd23gySM/YNv2Gjdeeh0YVYyQgkcUP5AXGmoLAuGTTCeQdLmpfqQGDPafIBzSiMUiGC0JQgmVPddu58mHHsSTIjjxUWQ1zcxEiCt7l+Obx+jp6CPwZS678Eoa9hSPPvYALz0/w8aNG0km4xw/8RLVep5161dy+eW/zcD4YY4PHsNTbBp1Ew8H3zR/LCEGcF0XVVXRdZ1QKNTs3rtQlP+L6lj/33KKfyUb2C/bZCSEaPIardMO77jqBtrHEth+gOqDNhkgJ1oJBxFM26beZTMwPcwb1lyMlUoRLftN1LkjwaxW4fTcOOsvO48nS8/xmbs+h1l1ufvr30OWs3zuzz9L1anREW6jPdHO/Y88yHMnH+Ouu77GRbsvwDvqojYStGbCFKMWqUyFizauJGRGueJ1r8cmRzKi8Y4rbyGb6UI1bdpEmlSkC9NxaetYRlyO07vuPA4Vvs7yXVVKL88zOjLEM697jglvjPHGONl0K3HJwPTr6ApUzSrCc0j5GSiC5odQEXj/sQTiTwkh/mrpgCRJG4FbaG52XcDDkiStFeLnlE8sRbfFgqblQjK7qEsMnJFmW/LvndEqXlSjWLQfFY/9qKXkUhqGLMt45Qq2pqC4VWqSwHA0du7cSbaznUQtjK7BsSPPYtYbbFq+jOGhUXzbplGpMDU1hWfXMUsucb0TYVss7+xkdmocz3YozRfw4y6+49LT146JhJkvULFsirkZPNde4Pqq+K7LfK6AEY2hGzKaEUYNOdiuhyLcZvtlxIKsWvPURJUlxEIba18sqEwEr0TmggV/yDQVKBbHf1KnwB+bkp9AXXm1XN6r5+//oODuJ0Wxn/hmIcSdwJ0Lf4MAznDN77rrLvbs2UMkEkFRFBqNBpFIhHK5jOd5qKEIoVAIt15HllQC00IxXbLhOIeKOSQJwgmDWsGiMZ3jTz74m4TNOmY+jxROMzo1h9LZxp2P7GddW5SessQ1kVZmyDN1aoi2RJxwPEm5NcRlyzbQGchMUcZXJf7XlTczeXqaqTafMoL8XI7tb76O//nAl2ltT/Hc0UOcnCtSbu2iUZ3l2juuYcM6QbE8xPLuFYxPzCHkKELS0RWHWsMiEAGGobKqpY/83CyD/aPYrkXnyixhXaPWKKOHFEqhUbq3S7QvUzFaVlAZdHn+2dPEVqZ59x0fwLEFtVoNty4xMDjCrde8h1hLjGq1TjyepK+vryknaJtE5VUcGXqKHRvewLMnvgqy16RmyT/5uHOxcO3Va0FRlB8rjH3Va/7DTiqbrHrAFzRMFzUUYmK2wOqtWbaemyLXabF+1UZMI0GhbnH0KZ1qvUj/iQGuu/Rc7Nowa1d1cW4ozsnnLQr9JkfGZ4glQ7Sp66gVFa6s1rndT3G4McLp/tNs3HgOR4wVCGGjdGuUT88RPf0yHaEeHM2nNZ7GnyvRlegmiUEsKDF8/1cY113WKctRjAxb129mx1Up/vobn6Fz90UUVixj4sHj7Ny4ktD8S5hhG9ULc1HUpr6qjVFXp3f1JXR6MpXDJoFvgOSQtBLcuOsSnimNYbkG2bZO7BocGxvj/L7VrIlm6VYUItEMxupe9s+Mc+/B73Feew+7V66h4sJzAwf5m/ffgjw5y+TMFI2ognANNNMj4tW4addmjvcPkt20lToxQtEwolbACMNFu87ioQPPEU/GOCu+CZMAK2ig+Bb/jnZT/1cxRZZlUSqVmJiYIBQKLV5HlmX27dvHeeedRywWo729nS9/+ctI6Ciyj+ObbD97FyEkDMsnoSlMWQ4ZPYyuRbDMEvNTU/zV7/03nNo81bkZ4qicGhrD1FTu2f8i0XbY4beyQ+1i3MsxOzhOKpNlZd8G9lHjimUr6PIUxoMcqi7zR1fvpZzLUfVsYu1tTPsON77jrfzBv95Jz4oOXhx4mcG5eaYjCTDz3PS+a+ldWSefH6Q900W+UEWIKDIGwjfx8LB8i1BMJ5PtoVqqcuT5R3BcidaVm2mJdVAsz2FEfKbFCZZvV0m0hGjpXUVhwOKZJ4+iLI/woff9PuWigwhUxocnGTg1x9tu+i3SHV3k8rO0ZpOsWduHbsiYZo2wWI1fnWHDyos5cHyYUFjBNk2+9KUvMTk5ycc//vFX7EmLJ8We5+E4Dq2trZx99tn88Ic/JBQKcfnll5+5mflp9ssutPt3bWC/7D/EUDUCDyQvYDWr0fMGNWFSUTRSfolOkeCFkM1ZjoEZN/mdJ/6YnDPHPdd/mrGSz+qoihYETNk5ut54Hu3aVp546jEiG6Jccs1uPnTle/BOl0nbNrHUGhJqHTUbwXVqXL13J+/4wJtRVnm849o/ZIIcSStBNJ2kY3Mn0rRO7/ooSiVOIt7HyWET24jyxc8f5ENvupEVW1KMGceYHSpz1bLbWDbYS6xL4fLEMnan38yjRx7nePwooRvbOaE8Q+vyNjKlGO6MQ8mSsDUVR/JxzQpJJYRXVcFU8W2QXxs0iTcCXxdC2MCwJEmngPOA/T/rTWKBU7yYuAZBgKo2l/FiUry0oYckSTiOc+Z4a3HD1TQNRVHObLZLE+NXqzD4vk97NAGezbq+laTCErrscvmVb6CSm+PkI4cwzTIhAWt7epgeHMCt1+lOZ6jP5wgaNTQCwmGD9lSKk8fHmQtp1Ip1nIqJVakRN8Ions3YqePo8WRT1qheJxuXqZkgqRo1xyeRjGHIBoVKHWEYpOKt6EJQtm3CrrUgM0ezqYYQC2p7Er7fLE7UkHAQTQ6taOoOL01qA5p0isUixkU7w8le+DovfmHFAv1i4ReablvQM/4JJokmteMnfONnF0+VJEnqBOYWxieA5UtetwyY+llrZNGCICAUCnHq1CluueUWHnroIT7ykY+QyWTo7e3lwx/+MOeeey6e5xGKxXEch0QsQrHuEDUi+K4HskQsFGHbug1MT06xNrsCuVwiXq4RTwcoLWkKVkC8vY3qQy/w0Uv30Ddm0toWZ0a1eGFLF395/318Zfd2MlIr57fvoM9WCOcaSMIlI+l4pSJBJEQ5G+XR0yd5qv84L/llNl60gU1beliz+yq6fYOHDhxkRU+StmyZUkMm0BQmZidwJQ/HMdH1MI26he05+FKApmn4vs/48Bi6CGO7EplMBkc4NKw6dhDQcGuk21bQ0tJNrFWnePIwPX1RbM+lXq/TaNiEjAieHbDrvD3EwhnCWhIllsT3XWanZohG4iSTXah+jGzLMhyl0IwwQYCmSDz48MPs3bsX02xyAltaWgiFQkxOTp6ZKyEEt99+O9/+9rexbfvMTdVSussS+085qRRBgGvb/Ns9P+T9q1Ko4Tinhop0ZcIMjhYYn6kSr9ToXSG46frbKeUniWhZovoWupLtHHIOcrL/Kxze/yIEgtP72rju2ttpTdQIxUcJVwqs1Dr5wbeOcaD4PXbvuZrc+AxUytxzz5c4b+Vmrjh7Gy1tKeoxlQPHTzDm5fn2l/6J1lGZ/GQeuSCo1GuoisHssdNsz67k3m9/me1793DHHR/gG5//Ip221izeDRvkKx6rVq3iH7/6OT7w7g8R2FXsY1X+N3nvHWhHeZ77/qavXnZvKlvSFkINIQkQIDDNGIN77wXH8XHs3MT2iZ3re52Gg5ObnOMU2ykO+MQN4mMHm2IDNlUgIQkJCRVU9tbubfU6feY7f6y9N6LFPg6Qe3Pff9bMWrNnrf19M++83/M+7/OGIoZCFsW3MbwGo8fOsGl7EldLEs0Y9HtdNEWSvNqBUHTiHQmazQIbVw/S1X8pclSgpiLc9r1/4L9/7f/mzIHDBKZPqCZwaBXl6ok4EeHTsE0G1w7w2J4Hue6a1xE3NGYnGgSeRyQW4ZLzt7Dv0NPIQkKPRvDCAG+hMPiX2MvqUxazi47j0N3dTT6fR1VVLMviQx/6ELIsMzo6CoBpmvT2dTJ65iQrVvYjAykljq6oqARE1QgbVq1jdmKW1cvbSNIk3XBow0FPZ7ACj441g+R+dAe/ecVVdM7lWZ3oYcqsUhls489/9mP+5Q3XIU3U2L52I8s8mZRlEkdFsyVCN2RKDZF1wT3Tx/jJwT3kdVhx8Q7im9pZeclVdIUqdz/4IANDbURik9SaGSQjSaHUxA8EqhIiJIcgCLFcCzQI5AA/cBkdHkGTBX4Y0t8/QM1sURIadp1CuUBv+zp6+1ZjuRWEb9HTp6AoGrncHIqUAgSNhsUF2y+hp2sQNSah9/bhuj75GY/29nZikW4UL0JnWz+FxgigoSgB2y/Ywmc/+1lKpRLRaJSxsTFWrFjBXXfdxWtf+1q6u7t53/vex1e/+lXm5ub44Q9/SKlU4ktf+hInT55EVdV/U9P61w2KX/YH2Mtpi6t713OIyFFUWWWTvob5ahVLbWKLJKpkUZFU+s2Qsp5gWtSou5MkOnV+8/4/429W/xGyEgPDIKvo5O95Brfu8proGqYK83zx3E+x3l1P0CbzxOQpqn4r2KyjEWCzdcsG/JkS2Y0xjJSK3q9y/tC5xCSNWtwj0rWT0CyRja/Em1Fpr6zELtucOJnnPa/7IMP1/Tw2+iR97csYPXGMN3W+gY7eAbrnaxSrMbzISuTtdX5uPUg0plAYnSOT7MaXZORMFEVEkFyHRNohK7Lsue0keDEQrVYOr7J9WpKkDwFPAp8TQpRpZRCeOOuYxazCC+zsrMLzU61n84nPRnnP3l78G9d1iUQiS5+drXOMCFvI6lnNJpaoAYFP4IQouOiyhK5pxDSZXT+9h3K9Qa1SJRqRWT6wDLNRpTaXJ5nOYqgSZtNCV2Qcy0aN6cSiEXo6O0jFEwTNFn2jKsvYVpMg8DGiBrGIwsr2XqLVKlnfQyTA9QImcxWqTRuHoKU7DC39S1XBl1t1cQKBIrcWC5IsEUotCoUQEogQWVYWigtbDAbx7CAvjWm4UHT4HFR4caGwOL7PnZ/WEP4KkmvygpL9i/SzuxP4MPBnC68/Oev9T0uSdDst1K/6qwY5i5mC17/+9Wzfvp3p6WlOnz7N29/+di699FJM06SrqwvP87AbTSCgv6+HqpPDFQFyRGeuVMAKQro6+3hk934GL00RzJaZmBlm09vWkndtFEMhmkxw4zXXY+gK2ZUx8tGQZLPB8skiV732TXzoD/6Iv/69PyASKjiOhxJVcKcbeKaL2NTPF2//JwrzUS56yw2sfuM6entjzPuzjMsCxWswNTxKdlWCVUNduE4OJ2hHliUU2cEPXBzHZOTMNI2qhCU5CEWgqxrpSJLTp0Zw6gHves87cUIPx3exXYeZ/CxuJUI61YZkK5hFhUZOxmsKvvX9f2LnzstZM7iGhuMg5ABJktG0CG5TJRSCQmGOe+68i/e///3EjAieaSJLFoYeYqgSrg9hYJPNZvnWt77Fl770JUZGRvjGN77Bhz/8Yb773e/ygx/8gFtvvRUhBP/8z/+M67rcfvvtZLNZyuXyS03tvztT+WuZJEEYEjRAyFFsK4pMJxOTJtOTKk0zg9Q4xYaNWyjXxpFEAl+s5L77K8zvP42pD3Nm9F5+7/96I2/eeSWSLfH+3/prpMt2cFXfOXTOFbFtma5BjVy+wsGjBynkpyEakC8c467Tu7n7Pp02knSlupl0SrzhTa/DLdaY3DcPoYQIdHzhEzR8svEo53Ys4zuH7uehh3x2bDofL7scNRrHrk7RrNnYHviqoFKf5Ot/+xW+9O430JisY8Ta8SyDhJaiN+XxvisvY3Zugi6RYWZqhMNP1bj80vdQEApoKcxQxYi2o1Rc+uPtnInl+P4jP+VP/v5znDj9DPMj47QHWfwgihFJ4IRN/DDA9WzSqRimabNl8xD33vczlvX0sGntIOVaBdwADUFHWwd9fQMc2b8fVwSEcksk55eoib7sPgVg48aNFAqFJX/X1dVFo9EgkUiQTCbxfZ8rr7ySwJeJxlQazTqKrKFqGqZjY0o+9cCju285v9i9FzV5IcmJUZ4+NMX293wET7YROqjVOu+/4Y1k4kni3asoJaC7Vud9DYkb3ryR937qv/A3n/oCqifjGRo1VUKpamhBnNyqDH/wr/+DRDZLx3uuYtVbb2S7pnFKMjkj2ciByeTwJN3rMpx/wVqQqtQaoCg6ihziBwFVc4753Cz1poerWAil9bxKGWnOnByhVsrzjne9m6ZXwvJNLK/JbCGHV4jT1tOH1NCJGJ3UZ3PgKHz3B//I5k3ns3njBfiejCvqlOsKeuwczIaJECHlYpl77v4ZH3jvRzDiKXS1gQgqJONqK66TFZ588iDd3d1MTExQqVTo6upix44dS1zi+fl5vvrVr3LVVVexe/duhBC0tbVRKBQwTRPDMF6RoPgVudheblOR0RWVRCTOF6/9ALsPjFKnQpu7gjBaoKTFyfgOhtVJZ6adz7znY9xz8Mc0PZtu1aOYalKVLPqNLjryOpLaAfkEvRGFdCJNshwDV6J/y0pGvWOMlQPKYzVEUqcjXM6btg3Ru6O3JWGTqRNrd+jwNDoaGgNON9Z8G4WRBk3To3TkAJVCkWV6Hym9l2R+K5d3Xkx7R5rJ6D5O2d9grfgclZrKCHli71P4ydhhJr3jZLvbiEU0KqUanuRgGDqxIIFhyzRRcKyAdDJBtaIQ4hGqPr9u3unXsL8DbqLlvm4C/htwI79mVkHTVKEoCr7vL/G4ABzHWZJkA5Y4xoqiLAXCi/uqqi7tn80dXizCOxs5VVW1xVuu1WjryAAtPlVfbxsTU9O4YUDUMJieHEUyK5SLeRLpLvoyacqVGkG9iaFrGJEIoe0yPT6B5zjUyxVqlRqxSBTXsjGrVbq6O8B3sMolsuk46wcHmK+UCbMGYQiptizT83lOjM4Si0QJcbCcCooqg+QRyj6GYSz8/wJJUfA8DxEqC4iu3KqIDgRigUqyRJuQ5ecExsBzFhrhwquyUGD3HJRmERU+iwd6turHc95DZm5qFtu0Fo+ZAv6Qli/5gSRJHwMmgHcunP2ntDiiw7R4oh99ievsBRaGIbZts2vXLvbu3Uuj0SAWi/G9732Pe++9F9u2sSyLZDJJZ1c/br3C5OQkw1MzKI5Lf6UAlRLLr7wC9AQlXdCGgfngbo7PjnLf2CnO6VpGrOzSbiQwV+qUdIdZMyTbdBGSj1jTjl2u882P/x98/on70HYdZvuOTazZuJZN3Z0UyiU+8aN/ov09F9F1/hpqyRSaH2Cas8i+StSQmRs+w/TRcZat2MT8fJOqX6BhH0eTDSQMPC/EbLTGs2JXiXXEkaMyKV3BlwRr1q6ld9kAJbuCF3g4jsPkzCSVSolko4NIX5POrOCpkydoFLOUx7t5w2VbeeSJX/DUsf3E9DgRPck55wxRa9RQlADHrVFrTiGpZQbXpHHdOrbpI6hgWfP4fh1dBVnS2bNnD1/5yleYmJgA4JOf/CQjIyOsWbOG8847j0QiweTkJMuXL0cI0ZJlajRYu3YtZ86ceQGV4t+wX9mn/Fr0PSGQdJ01525i4lSaqYqK5PfSllnGydPz1KshV7/+BkphGRSNSHSIXfvqVGbSXNS1ilvuvoVv3PIJzm+PEJ04gVeR+Jt3XMovxmTasjuJBhNY/gR7Cj/DyzQ5njvMqg0bmW5Y2KLI1vNX8vYrrqE8L/PQ7pM0jlZ5zWveSXPf00SskBaBXMXIRvElD9usgwhY0WWw78iT/M0t3+KKzduJR7sJ6h5U5mhG2yk1K7SrDr//2Q/x5D33sD69DrNhomtteFZATI0SsVT6jQGK40UmT53kXZe/kYncMY6cnuVQrkr30DKuve61aJpDKVfie4fu5bpPvYP89CyNM3mWR5Yhewkius5ssUwkFsWsFolFNQzLJanq+EKFjeehSRK+G6DJKmo0zvDILNFYCheFXKOOqyoISQbHf9HZfSV9iq7rWJZFKpWiXC4jyzKNRoMwDPn85z/PzTffvPQsCQKfRt3CiGmMj83iTM+zLKrA3CQDF1zEto5lNF2TRCakGNxF4/7T3DF2hJXtnSwLNXrVOMFgjLJk47R1Yjg2gSYzphYIA4V//OBv8fu7f4z+1Gm2X3ERqd5OLk+toqoLPnDbN0LESV4AACAASURBVOn80OW0dfRRXteOqgmysxWEK9AjgvnRYeaeGWHtORczMV7FFCZ180E0LUroSphNl0athf7WPRujXUOLyyTVBEKErBtaS6LjMkzhM58fxg8cZmbLmE1BtNaPYTvo0VGKNZPqbACVjWzatpqDT+3iqWP7act2oylJ1i1fRc2uILlt+GGVujmDzxirzg2p1U5iV3z8YAakOjHDQFUUhPCYm5tj2bJlpFIpKpUKK1as4G1vexuRSATHcRBC8OCDDwK0smOuS1dXF7Va7aWpfQv2q0iy3UYrVdXxSl5sr4QJQmzP5tyhDcwdO0mpXqct1ST0HYTSwMbidNLn0pJGNPQxpCjjp0b408t+h1KzwZiqcNMv/oH/c+unuTiyGc+FoNOFrEGxkCcpIlC0kBsNMhGfbUOrOHhmL+effylr2tfTtqYLR4bu3pAzMzOEvk1zpoE0qpErhljlCpVJC8tqIuYLdMkBbUGDA0+P0K12srVvK3FXZbh8D5VlR7HNaSqlDuprXH4y8S3MyCqWZTNM2BZOs0xPW4aenk7K1RncqTKiClpnB82aRXWuAWQAAQqvWlAshJhf3JYk6ZvA3Qu7v14Ki2e71y0GXq7rLilPLAa6uq4vcYcXi+/Obv+8GAyHC03pFaXFxg0lXhAotlo9S/gixEcg6walWpVcpUQinaKrdxlh4BLXQgxNoVzzaFZr+LaFKsmIIERRJFzPw/cCVElFllR0PYKqqsRiMVwJkvEEVcfE9zyE5xJRFbra24km2ilXqji2R9rQSagSsiwREGBIIcgCQw7RVAnPb62WJcVAEBJIEEpBS25vgdqgnM2Xfu5cvaCI7qy5e857i+P/Usjwi3GPJUlCkWR6B3oBmBydwLbsgbMOufoF8936gk+99BXx0rY4z4v8skgksvS7KpUKYRhiGAaappGvTBMJJWIiyoZ1G7DrZY7+xV+Tnq0yO7yXMUViYnqe67ZdipMv0BbA4/c8QG3HNnp6+gibAWlS6KTJBQUOFotM5efYu3cvr9m8nSv9ON/p28zkh9dzbGaMmV1P8phvcyTukn77xazbsRlbtSFmMl2tYSgqhfEClVqZSrNCWbOY3v8LsCCd7aEpVyEU+FUbZAVCla1btrF6WYZQg1R3B0ZnBleG6VIevagxMT5OMpGmlC8gmxJdShd+zWVV24UUp4pYI+OM736SD77n9zm/bRMb161h7OgkhVqJvSeO0T27DkOkCLRRgtDk9ImnuPba66kUTeoVG8eNkm+OsOvAnYREEGj4IuCTn/zkc+ZFVVW+9rWv4fs+x44dIxKJEI/Hl2hOkUgEz/Oo1+tL9+vzrrN/d6by16HvqZqGH4a88drfYM/BMWZLCrISwFoIHQ/fVZCSvdRtA1mWeerpKcaeqdERW8st9/4WN9/1F8xPHMIRA5y6+2na9R6iTfjI9VeDZzMfn0dpT3F4b4OGXCSWXcGHfudTTNcn6Ol26dcVrh3o486fHGB5phdn0wp6M6spzzyJ51pYvktMTpKIZTBiKmXLouhUmZw+SVxJcODJh5kZOcV/fceHSbYNoIoYFvNEIwbfv/XreNUazZX9nNj7FJ1rNqMoUfymw7KsRlRpJ4bNMyMjDK7ehuJpbBpoZ3B9B31Nh3t3P8L/843DLGtfRSyM0rl+BWsGV1K/Y5RYI4XwE9SFSjyRolOoqJmQSlkhFpFplPPIKGTjSUgkSUQMqoU5ookMJctEiyfpX7mW6XyBpufhA0Y0gmPXXnSehBCvmE9xXZdCobBUsB2GITfeeCOPPvooYRiSz+e5/vrr+du//Vu2bduMIisgIixfvpKEbXLfl2+mTzEo7N3L/lKOumXzum0XoTYtzkv3cPv997Nz506KmTb8hsWAkyaupRjRGkxMTzCVm+PBXU9w41vfgl7M83erL6Fy/qWcmhwh/+QzfE8c44DmkXrXNjacfw4mFpmwQtAUTCkBZm6a8XKeul2hjMeuxx+CBmTbU9TwwPUJ6t5SJnLbRVsZXBFBiuhEk3Gi7RlcOWC2mKerLpgbn0dBJp9vooQGaUklbMwykN5B3baYOrCHiUcOceMnvsRm6Q1sHnwdM8NTVJ0Su44+xPL5PsxKDcuLYLtFTp4+wPVvfAtTMxUaDRPDX0Ou+TiPPPlDvLCJWfbJpDM0mpWlYvvh4WHWrFkDtALg06dPs2HDBhqNxlJRvq7rlEqlllTdL8lm/irqE+99iY9e1ovt5bNwqQ9FQIgkuewffpKRd3+Mp79zGxck1jGhTeMZ/filGZbTxUj7KTRZY/XoZr552b9imw2ytQ5m03lWq210didQSx4qFmFTQy7rJOROvIiFkjKQXYl4oovIqYDf3vpF6oUasek6E+c2GJ48zEVXXYd73EaWZQpOk4Yc4MUDuowkPdlesn6CS4+vQQtsrLDINtrQ2xOUqyWSXpTXd7yBv9kzTnWdTO1dMzydHsF1gMgJHC1GxpMgHqVWKFPNl8lmk2gdGkE2IOO0s2f3cSJSFFtuVd7j/BvD9zLb8zh9bwWOLmzfCXxfkqT/TqvQbgjY90vPh/QcpQl4llKxqCKxWG26+LlhGKiquvR3iwiwoih4YYuDfDYqejbtYjHQ9iMRJqtVepdnmKpVccwiQoK8bRGqMtl4lJEzp9BlQSbVjlNvIiPT3d6B6/s0LRPkCJblIAIfNwhxPY9qtUx7PI5jmZTLZeLpJL4ikYmnW3q2tRo9SQktDGn6LqosWkopssJsuUpY9TDiUaJxhZwV4gYhQlJADQllBUNT8cOFzn1hC+VVwhBJXuBLi9Z4eAsFaa2uzFILNA6eq8QBLHGKX0xK63nz/qJIsfBb8ne/CtXi5bRYLMZ73/tebr31VlavXs1NN93El7/8ZS677DJM0+SnD/+MymQBH0Gj0aq+vu1nP+Xq1etQfcFtd97Dp/7Lb3Lf7oc5evgQN3/hi6yYLlKOwhN79jF84iRK1KB71XJ6+nrYnhlgB2ku2ZHlicMHOR2oDO3YjuQ0OGfNEIPLVjNybB/T3izbN55DIHxUWSMRSdDMmRw5cJSTu59h6JINbN26FVkBScgEVkA6lqFYz6HJCp2d3QRB0MqQhIKaYSMHAqdpUxsr0tPeyeyJEnc8uQvDMHjnO99Jz6pOJCGTSqUQdZ/Dp58mVAK2X7KdDau3QyNActYTkXw2nbMWJWZz2Q0XMnLyNI8/cBe5osr6dWt5/3s+jueCJMfwwjqBXKBUncEJGshyiB/YqAokEomla+KBBx7gzW9+M7fffjuaplGv1wFoNptEo1Esy1qSyatWqy81na96plKRFFzPA1Xlxz/4IbH0eoQ9wHzpBAek4wRWP6qT4Okj45TmXBRPQXd8+lSYH76Td33hM9x3yOb86NVMzkPcnmb4mQOksquY3X8CDI163OR7d38PS7ggw3kXX8XusSZGxwqMukvE9jh5YBxpPEGbvYyuRATNiBPt00lUU2hWk6BexbaqVCWL4xPD7B4+gA5kRB3bq1Oomfxo98O89fK3oVcMphsmB4/u5bILhyieOklWeHT0Gxwb34XePUhHtJu01IOkdBONFRipeShyH/1swKi5BEGBLVGHVRddwjcf28eoabHxqit4/cY1FO4dYbC0HNyQkiowO3WeOHaIo0ceIRpJIgU2m9atpT2ZJKlGQY2TVDKErk2p3EBOxyk0bRqSRjYSYfeuXRQtkzCh4zSaLXWd/6BurJ7X0uGOx+O8+93v5utf/zrf/va36ejoaGmQGway1MpY+p6z0Do+5L7du9m+cpCYZXHXow/yu5/4FD9//FGOHDnAH336M9xU3EAxcLn/0cc5OHaKSFeWtt5uzmnvYntmgAvCJK+5rpf773uIcGiIza+5mrpTYc2K1axdMcTTB3YxGlbZvuUcAhwiuko8kWB8dIrh42c4sedpzr1sM1vOvwBJCVEkFXxBJpqhVKuhhNCezrSueUPH9BycuCDwfHzLY/70FAPdvahn6vx4zwO0tbVx3euu55yN5+I4LqlEGtV1OT0+jKxr7LzyEi7cfDF+xUbIEE1GWLduPRgBO15/AUeePMLuxx5nrpJn0/pzeefb300inqFRd7DCBi4FipVJmk4JWWvRA82GSbjw3LJtm3Q6zfLly+nr6+Paa6+l0Whw7NgxkskkiqLQ1tb2HIDs+br6z7f/dB3tzrZFQrUQgt/7zme4rG0be+fGaIu1I4RGe8RgkhLdDqTCOM1qEy+VwlQjzCer9BVl/tuFvwX1LKYAQ5EpJfLotkHabkNrxnCjVWRJomlCTImieS7R0MM2G2y4eDsd6XZSnkZUgynKbNm5Gk76HB+dwT1cQ5quUCsrRJsSniRAEXz82CdwmzIXRHbylnU34FZdrhi6gtsT/5OG65KjQCXZAA9UP0QELTpBKpNEVVUajQb+wo05+/gkbgEii9q0UmvSX2Gg2Dgrq3CFJElbaIG8Y8AnAIQQxyRJ+gFwfOHnfOqXKk+w0JtiQSZt0TElEgmazeZScOv7/hJNAli6Cc4uwFvULpYlWq19F9EoSVrq0BaKZxt6FAOfzq4Oxkol4prgmisu5eDhQwRBQKnepFQqkVENUpkkiisIQ0Gj2cBHxnS9luuWWun8tWvX0NffQzQa5an9+8gm4i06ROCRymaYns8xfGqEVDZLuqeb5rETxBWVVYGMbUTZPtSHkGXsICTfLNO0LcYbZbJt3TRtByfwqXk+TddFKCpSAEJIhAuju8jrDRa2BQsKFNJCAZwstQr0XsR5PNsVMHyWIhG+cNpaoPRzpEKWxvLsosZXw8SClujU1BSGYbBjxw5WrFjB8ePHue222+jv7+c7Xd/BUGScIAA5xHFDbn3wPprlKh85ZxWf/eCHmZ3LEagyN335y5RzOYb6V3CiOM3lW87n2u3bceWASuCgBzKDUgzh1Rg+Pcb2wdVYmkSFBrG4TrPuUzFtjuWm6bxyA0oUZF0BVeb00WFy0/OcOTbGhz/zcTzfIdAErm+hGRpqMkY6lUBvKEiqhB96xGIxTLtJ3axTbQbkJmah6RFzFeYOnaGeK/O2976ZVCqFHo1Qq9VIJGMEC2ol/UO9aFEdSXKIZBXQBE6tRDRqEJMMAhFgRLpZ2aux5eMXY5oykWicQMhE9CgnT4wwPZvD4Sh7Dz2Mogo8saB8LgIaDWdJOlFRFNrb27njjjvYsWMH3/nOd3jggQeQZZktW7awc+dOli9fzjXXXMOePXvOXjid7VNe9UxlIFp3i6KqnDl6gJXn9TCfUzCiOmMjMwwsW0862oPvjlLLO9RH5lnWHWN6+hA7L1xJtu01PH7yNJJfp9cQDGk5uvoLfOfefQyUr0FonRw9dYKiZ+OLMoaWpGGFhA2IxHVSPihzFlKQQXMs2mMZ7j+2HyNuMCfV0a0mMV1DDQ0su046rrFhaC22EjIlO1h+E0p5co7LyNQ49SBkZVsfgT3Llm0Xkp+dQvZMKvkcmhFSbeY5fWiSuJRmc/tGLth4MYqqEOvopkYUM0gTM02E5qI0R0kpEc5fsZ7pfIU1519EaWSE2KyN7GcBiZJb4dbbv0tve5Jzlm8ktqKN0G3StG1OHT7EYN9KMok0UdfEd23i6SxVz8IXMlo0ylNHnkaPxUloYAq7pWryHxQQn23NZpOPfvSjzMzM0Nvbi2EYKIpCR0cHlXIBgkUFSg81FuHvfnonH7z8Kt6/bCVf/NgnOD06ilDhpj+8iWa+gNybIBr6XBG/kGt37iTwfULPxzEC1og4kgqPjRzjNZs2k/OaVF2LqBFB9kLmqhWeqczSdeUm1IgESqsI/fSx0+RmcoyfGOUTX/wskzOTdPW0MzU/STabQJYk5IhOV6wDZQFgisZiNF0b03exbJ/CTA6vahFxJI6cOEB5rsB7PvgeDD1CKpWiVKkSb4ujGRqKL1i9aQ2yplIpzxOqCrH2DGEzQCdCTIkj1JC6U2LdunWcv/586l6VRDyF58pYDQXHlJmZzFPxDnLg6C6QPALR0t33AhcksVRInc1m+ehHP8of//Efc99991EoFBgYaCULenp6XlCH9O+mT/x/2XzfJx6Pt1DEmMSR0in++JM3c8+/3EXazKPGUqhCamkHCxkjHWNenWVMFHnm8Bk+felbkZoqNcnBiUokQ4m8Noeh6sihIOnHqCRnUQMDLexuITXFItmOKLm5PJ0+aK6GLvsYps+jd+4m06my8nCK1JTE8cJh1kldOLaMHElghh6VaoWT5yWJ5CRODU9RrJcREThiVLBWhgw701RKVWJZg85IFnyFvFUmHokTV+M0Gg2iUpJADkhFU5w6OYnkyUjIrba+4pXuBwPAQSHE9oXtW17qICHEnwJ/+r9z4sVre5EKAa15XuQJLwbKiwHx2UjlYkB8dlCmyMpz0rMvhm7KsowjQpxQEKoqnhzQ2d+PdvIk+ZkZkrpOeypDQnKYnp6hN9WGLGTCcCGwDEIkVSFAxg18ms0m1Uodw9DQNI1kMomuqJj1GolEikTTpODYlEoVbCHR3rBwA0G1WMW2fPxYS4NaMjRc1wLh06GqzJdMqpUioayQ6uhECwVNp8W5DgULyhIyPs928Wu9Lv6vrbE9O3hdokssHMPz0F1xVrD7/PdfdD9sTaLghed6pWzxWnjwwQcJgoDbbruN2267DVVVufTSS1vptUUFE0UBWQbXoQJIawdZuWwt48PDnDkzxXXXXoljWqS0OCXFI96RpgfQbQ/XaRKtOcSJkLNmmc7PMxd1yUoOqQboSCioBBEdy/MYtstsXtVHaISAj2eGnDk+ysjPj/HpP/xdHMNBN2TKtQqZdBo7sNAjEg2vimYYeJ5D3W5QNktIOkzlJikdLxPRI5w+OYwhRxgcWMFlr389QVwgDImZ4jSxRJSKXyKRSOBJLmoiged7mGYFQUioNrFjR5HdDKlwOaGjElRjpNRuZCdCVJ3HbvpYTki1kafeKDE9d5Ij47fhS1Uk2UH4Ci0cryWb6Hke8/PzdHd3U61W6enpYfny5bz//e9H0zQikQi33HILa9euZd++fRw9epRsNrukKx2G4dk+BV6lTOVi1hFaFKjQaYIcZezpf+XGm7+Aa6TYu+swwcwJupUSp6ebGM3drByssfGiLfzi4Rm2vOWj5Op50jP7KFZkHpDbSA1eTJI+fvudNY6Z0/z0wB2cbBSIR7JsWbMMr+owevAoG5ddSm5+mvZ2A69sMz6YoDuo0DHQwV8fnORb3/wWHxvcgOTO0bQtzvgRhgMD0w64+Px+Pnb1Vkoj4zhukxnT4l8efoInqjWOWHkORyMMV4b54Z99gVPf+EsoBkQ6uiD0uXAI3rV6Zas2IVCxm8OEHQNcdc1l/NOP7+Rn9sOs791MX6OLy/s3EFdD+mIFugOH3XftYXDtJmTPxa9ZZLoEfmGWLYMbOHewmxW6g+L7eEaEMBVybjIDAaiSihKXkZUooRJQNCVimQEOHp/C8RuIiIHr+bi1JookkFUIXr3amBfYoj7xYnOIfD6Poijouk61WkWSFSS5pRfvKirN0EMGpIF+BnoHmB4dx6g2ueayy5EliYQSJR7TccyA+EJ2xQWqzSZtpmDGmmKqkGNSt0mGCu2BTELWkCSVekqnKVxOOjU2D/XgaT6GZmA2LCZOj3Pi8Ak+/3tfYN5t0tvTT6mcJ5vqRJZDtJhKIAtikoHtujQck4JZJZBhPjdPc3QeISSe2XuCthVdxIwYl73hOhRDQ43oTOVnkSSJZCxN3au1KEVE8NwGvuHhWE0cH2ryPJloB5KfQgQamhxHUQWqpCEaHg1HRZESFGaL5HI5njn2DMfK38Yh11r+BNCCcZ6VcbRtm2g0CoCmabS3ty/Nz79VTPdv2X/qoBh4tnuJChZN/uvff46s0cnGHW+iWRM0x/PU7BJbhtZzxj2NG/f4h8dv4cbuT5EghhY3UGpzRGoySS9L0AXH64cIjLXIXZ387ZM3sZwh3rX6dyCEaEJpPRxLwCkwp+dRjipsbCyjd/l6cg8Ns/JUhq5Iikh2LSJfwFSa/HTuccbqc1x83nl8XXyQ2YEmM50e3roO/vKf/4o94X7ElIkp0+IEuzAm5kABo4eFxhQlDKPVelfTNEqKC3WIykn80GQBIATxKmDFr5CFIkTW1FY6Sm0FtE7gL2gVt4JiWW41sNDVFn8o5NmiLyG3KAJCWlzBv7Re8bOtjGW8doPjxSmuXnE+GiGHnhklmohywYWb6U3rXL59O8/s2c2Wc5Zz+PFjpGMZFDmgP9XOvF+gVK0iyzJBKPHMsdPMzxa5YE0f3bEoqVQCuSPL4aNlStPTBJ6H6suUZvKUhucYzs2TNAw6dY3BtnY6vCa+Z9OV7cLUDVxPJdHbjXlFPyNTsxw/M8bB0TFi8Q5iQAMV1Yjieq2UUzEsoiGjhCGhFyKFMkYo0IWOECGSLZAkhTAaXRgHHxF6rXEMXJAFqiohCPDwCOVMKzUV+CAEqqyiLHa581mSeJMAX5YJXW8BrX51kOLFhdLiXC7aIoIMQLggUycH4AlkIRGoGv945518/Lc/h6YZpOMxZnOzdKc76E33MmfYSJKOWWyAFRA4gnrFwnTq5NwmOWHx2PhJtgyuZSiIEZYtKhH4yv13cdpwKfRqRNMadbdGVE8yN5tjZHiYt/zuu3EVl1DxOTM8itNwaM92EE9HAQXba+JILq7vYVk29XqdXG6OerNB9USOG978Jq7ceRWBLnFs+CRPlU7SY2Wo1WpoMY32rnYCqSVyrxpQqZTx7IDAbaLJAqF65JoavdEsNVNDEdCsTROIBrIA305RLFfI52cx4iYHDz/IXGEYV5onlG1at43SaiBDSDQeo1arsW7dOlavXs2KFSsAGBsbW5JHXOR9j4yMkEqlUBSFWq32S1Od/yEmW6AJGu5RLBn6hmQeefjHxLrX8I7rP0Bbp0ZdzNCQEry26y1885Yf8ZZr38y1Wy/m6CMn0UyZx07NkoyrXKyqrA/b0M7Zzp65e+lfluDDmy5AlBv8+YMHWZ0OCdU05vA0bjpFx8A2rPIZTuXmGFg1hN6RYczJE88fwBQqP38mRz21nPY1a6gafYwW54nMykS9gGw5zwe3X8ieux/iiVP76esTXLPzag7vPYYSpJAkiWqlhiMqdCdT1EamSMTTEM8QRqJM22X+5Y7byCYN2mIphF1kzhIklq1EC13cQoGL+rM8cnof1e4kckrHs9PkTR/DWM1Qp0PSl1DlAMlrIkkCQUjEkJEFiCDEr/mITIITZpmHzhzmTG4/Hjar1SSyHyMWjaE2VGwREPwSxO+VtjAMlxQPFu3shlEoElIIqnBbvk6WMKJJvvXDO/iNz30GRYSooUfVaaDUdVam2piIm8T0GFrFQnNDDDOEXINKaDNlVZnxGjw8fJw1nV1c3jNEcy6HmU3yJw/8kFO6Rb5HJpmK4klei7ZSqHLi8Ak+9smP46seShgwcmYEp2qSSqWIJg3UTJymU8dHwwlaEnn1ep1SroBZq1M5Pcc1N1zH1q1bETGd6fwsJ+ujtFfjOJ5LKIUksikotBo+oQc4lkPgBbh2iYiqYjk+FTGGLGxUO4bqxmmEIb7nIgIL2wGzWaZaO40eq3Lg2D0Uy6P4UrkVs8hA2MprPr/12NnB78tByftPHxQvWaggVJ+GVEQ1FPaNHuKdF78Z1zxBPExzYOQ4gysHyMSyrFdX8ZHN11HOVckZZeQ2G81WsEsKkWKCn+26hwveuYUTk0dYfU0fhZ+XkYQDUognKagI1KqMc/88fqFAop7g9NgJip2DKJEGoRYwEakTn1Xw/QbFVIPvj/+UIjX8usW2kQz9r13HX/3s6/zDgdvJhfPIiZCgIrcCYgFSECL54Eng1wG3tap0ARQBsousgB6JE5gOId5Sq/hQvIqVdi+zLXFbw7Al0SJJeGH4HFrEi3XIAkCRkc8qMpNeZPv5+2erVBiGgawqRDWDqekZutuj5HI5BrvW4vkBeiRKsVwhlc4Si8Wom01qjTqu65LJZHDDgFQkSnH41MJ3KDi2zfDwGfRYFF2PEFE1rGaTQrlMvV5ny+bNhB0Z0tEog5kscVVFqtcwq3VUAqTARwo9nGaDYwf2c80b3sJVV17JnY/u5dY77iGa7UTxfSBEEhKyrBGLRPEdF1+0JG4URcPybAIJJFkFWUaSZTz8pSJEWdNQgCBYKORDgKQiJIErggV6RLiA/koEQSsrIS0i0UFrPhTdQFIk5EXe8qtgLxVYnc1rVmS5JfMkh6hCQRUCJIWa5VJO62QyMcKSwe6nD/K2699MsV5DFgI0HUU3CAlxYxG0qEZGU0jXTIyZKW645CqeeuopLnnNNZRLdcxlcY4oFvGdm4mGs+TMHNlYHEkSWK4NnkM8E0NEQ2QdTLvJ3kf3smJgkLa2NmRDBjnAklykUMJ3W0WkmhxBNT3O3baNWEc785U8wpCIJhSavmD3A7tRdY2h9UPM2rOoUZVquYat1MGLE3oyChbCb5JMdNCuTeAoMkIz8CwdXxjUGxahF1CrzmFZFiEm9z3wbXp7IZWeptBwkBb8E6gLrz61WqsgqlwuU6vVltqsa5pGGIZLvOLFOXEch76+vmcXLP9vM6EDDpVSgc6hNShokDXYdNEQNTFNJt7L9JSJKicY7FrNZGKCfQ/8gsH+dfQk29A1ld3797D5ki24mU7Mk4cZ6FlBW08vV7/9fWw3uglOn+L3f+M89uYmiAcZ+rMDHJo+w537j2BOz+IChVydNWvX0+fl0GaeZr5mcclFF3LX4WmchsSZE3MYsQZdaha/UqU/08O0G9CGyvjxU6haL0MXX0tx+ASxhoLmRVAUiagAQxgYskVMSVG2JIJEAv/MJB/YfgW+UyOeyBLIK7D8NhSho8diIOts6O/jnE0b+Kfv38a73v5uZtvacEOdI0fG2bpmFXKtgmLoOHqcUFaoN21kXcOx6kiEqBmDIBnnPfA9fgAAIABJREFUoacPcaw4T1zTMDyLnu4uHCRqsoSkKgg3fHGtkVfJnp9dXLTnBmUt3ycBqqSgGgaeGyJ5EpW4SiKbQJR17tr1IG99w1spujam4xLTYoSq2nruJONkVgzg6yFr6yaRuRmM7TGePHCA+IX9CEWmFoH9YZnMzm0k/QKleplELIGialiO06LC6TJFs4iiabh2nT279tDT0UNbewYjoSMpglBI+JLA9lxCz0d2A+KBTmLjBhK9nSiaQqmex9AEhhLw6IOPE4lEGDp3NY7rU6lWUXUFX/Ow6wIZBUnUUQmJR7tw1DKBlESIAMfxCJCxzBDJFxQqRSyrjhvOcvejf097l4OWGcevGM+mtsWSc3mOveiz/gVz8b8xt69msctL/ohXoHnHC76DKIpq4csgq9BrriBBnD/92G9w9y33szIxxJauDQjbJq6EvLZzJ6c0k3srD1FzR7ls7YVkxbkU7y+SvN6lV2ljvjbCX5Vu4jfX/h7nTG4jY0rkIipaINOlJ5nPCPY+8DDJqyZxoyq5Gy5G3lfh+v19HNcSLJuukRMjzA3afPrI1ygbDYxijnx0HTADWo2IC9hgxyHejOArUYQkofohISa27GGE8ZY+LQoy8pIOcUCAK5vE5TiOaOArQAiSH0VgvZLDfeB5qc6XzXRdF6lMcklhIggCvDBYasyx6KwkP1zSHFYUBSFLz5EdW0SNped1doNnebOL5/J9H1v2iGo6VMp0JOLccNWl/OHNX+KRn/2E3Pgplnd2QKVGcX6O4UPHOWftuWiahqq2ioksz0fRdGbzBUq1Kq+/4XqO7X6Arp5uSvUqtuviiWCpNeWF2y8iNzdPKp5AquaQXI8d687Fq1bxC0XUMMQ3m6h6BEVTqdbraCuXkcy0U6w3GZktMVKqMFerMV6r0fB9bFVG0lXqIk4oJEJJxvEDXD/A8kKEqoOsEAgJZIUlfFWEyKFAEqALgYyEIstIoSAMPMzAW1AEeVbVIwha6LwqK0tjKERL2UP4AaokMzkzj+04r8ijTZIk8XKhjKvaBrj/4x8lNjnGbT/6Fx6zbD7/tb+k+0yV+cAHWac/1YbfaFKsFvHaDCYTJr1zNRpPPMXJRh49lLh84EL+uvwME9etoH2onaf2PUb/0EacbojLEaz5Kud2raE+XyUqIhx8+gihBJPTY6gxlbniLNSANOApIAJkBRKGQXu8m7ZEN6teu4xIsh3bA9s0iakq9fwcZ8plmsUGhmcwfOAQCMHQqn5kqQMzaJJrzuL4TbZefTHZbDtyeRlSXqJ9uo/qmE88lUXIdbIpgyPH/pXy3CSyX2HD1nWcnhrn9HQeR36uVvjLaWEYvmI+5Vd5/jz3YZsGw+aSd1xO77mXEov3kisOMzc3zOD2rbSrF/LkE2NkDJkOUSFRHeMX9+0hb0e54pyLuHjNekpNk7v37uPKHdv4QNwgV5rgN+7/Lpe//Z2c5yZ4y9pVPJ0f45Fjo/QObCCZ7qNiF3m0UKJ7/UqquQpzJ2ZZsbybnUmPq6wZhKozSZJnCj5SvIfV2RTy/GnSQ70o9QqyVaccBHzujm9TIMmf/P3fkT42Tlu5jlIqEngWShCgRxI061WSCYP5fA4iEY4Pj9DWZrCqvwND9nFNHyvM4stZoug0ZJmnZ0ZY3Z8m4RewEhp3P7aL+e4hurrPZYXSxlZZpjMISKKxt1YgkmwnksxQdy0k2UXC50f772CmWsBIGcSNkGTgkcUj3p7FUzWOT8+Rq1WxZdHq8vki9QxCvDIpqH9PnPJ8X7Qy28PPP/6bRMfH+de77+Qps8FH/vzP6JmvU5IlVMUgrUWQHY9SvYydspmMOSyftyg/vI+poIJkWVwxcA03T+yl8LaNdG/o4sDxAySWr0JONGhLZqnMFxnMLsOt2RiBxlMHn8YNXPLFImgS+WoRyi5EAY8WvS0Cahzi0SydmbVceM1Kklocu+HieDZqTGG+NstsLqRemoWmw/jBKTQ1zuqVnQi1gSuFjM6VwIZN122iu7ubdO1yrHmb2HQb7pRDUo5hq2UkLaTQ2MXkM4eJ+BU2bt7I8TOjTJeb1FCXmnW9AvaiPuX/N0ixwGIJZfdlctoMBVnmU7f+HX964+/y0K0/pjOhowcKbryT/eoUGbtBGDQ5OpZjh+ETtlf4Wup3yD0q+IvXfoW+4lre3HUzal2n0fQpZBs0k3XSpU68osycMsHxq/fA2ik2HthO93AHP1PGub5SY763j2J0lnJ3g2pHA4I6VrVITZdQ3IWe3q6CK1okYNkCS3ZBuCDAX7jHZCQ8+X+x9+ZRcp31nffnufutvat6lboltXbJi2RLtpFsvIJtCGZzgCEEk2SAwAFCZkhO3ryZN5lAmHACySQTAklmJuzBIYMDTMxu432RrN3aWlur97X2qrs/z/tHdbfFkkxOzmDjwPccHfXpru7qun3rPr/7fb5Lh1FZfnnfd+ekoJ20AAGJWjkWL1oohWNaK0a6RJdYUna2vpceIqXENHTQO3KIZSPdcroCLGlkxXNkw6Xs8KU96StZxYYBCJx0F5pt8u2Hn2Tqne8jkT55S5DsSLG+u5c1fWsYm5glsW2a7TYkPjJO8IOY6nyFsckJsl1FDh44gmulqTYDzl+YIlGd9rSdO6/E0C1MUydXyJDJZGhWZ5BJRL1WxoxiNJmQy2aRUqFiia40Qj8i3fZJapPI+TJXZIu8ZONWqp7HWKtGPQkI8w7S0Hji0AzzCwt4cYS0XbAsKjLB1yEkpiUTlATd6lSZagg0pXfUXEGCho4lBUIJpNRQWkyiOmkvuq4TS0ksI5TQCYVESUGiJBKFqWkobTnF4oW/If+XYHphhkPNCrs2rWPDddfR1fD49G/+PrNhg1kNvBg2DQ7g2DqFni60o/NMUua//fr/QzDk0ROt4fjIaU6eOc3R+RNsfcdecGGxXGGjbnWiyEhIgpgLFy6QNTMcO3Gco8eOo5KYdVs2UOzrotBfwE7bhHGARhpNlxi6xNFtwrriqsuuIUzXqSyWabV8kAIrn6N3YBVWqYS+wcCMTa7bvYu56TGa1QWEyLC60McaVoEN+UIR204hmxW6+vN86RMfpWT2U41aFNIm2ZTNZZuGGe53ObDvUS5cuICdSy9fWn4q4Bg6up1m4myZbLFAXRfg6LSDOvMXEg4efQIluxAFl0KxAM4qerMl5iNIFwvUKjNkNYdcpFiIA9p2CkMz6SePVjGYdNI8UzMx2mnWp3o5evw0G3flWdeVY9+ZCXp6+ogjHddpc2xsms27h/GSAXQDwrlZei0X24ZMEuD5CWnDoZkuMUOamcAHaw0ybDLgaOhNn3i6iqHpaMJGqJAwtNAzJaxVWUqlLI888AB9hW66+nrxlCBSAjPn0qq0MQxFrBQjs3NMhA79dNEna/j1RXZvXcdnzoyxceu1pMiAV0dqkulGCy8nGZk+Qyrspn/NICNnT3D23EnKcQPbVeiyjKt0/GaL0prNjFcnqfkxQrOQSITsVHQp/sUZ1j9RmF6c45naHFcNr2Jw5xWYlTqf+a3fYzKpM2+AbhmUsnkGeooU+oqE+0YomxF/+t7fxN/gMeBVOHn+NPsvPMuZ8jib17wcK2UyNzbJjitfQtUyCBsBMlDMzy+iR4rDz57mxIHTYMPw9k2sHV7DxOwkVspFCYUd62i6ie7ESBUQ1GH3juvR3QrVhTqV+RpCh5yWpa97FSnXQA31gh9x242vZOzsFO3GHLo5iJXNsmY7hCj6BwaIY0namkG4LR597AvIhRgjSUiMkGw+zdp1A1y3+wrOHNpHpVKhWOphuhlC9PymFMFP0VB8KS41ZCX5Gn/8939GWhg4zTR9WonrixupNduodpvN2X7W7x7ArWgElSanRZ3udat54Oyj7Aiv4FjzLJ/c9yBvvfkeHjj4DWTs8e93/QrDQiIqVaIz0yycjdi5Zi1nn36cta8d4nNPPkkzbfOli5+mNVljIpggWhpULTTCS97o/xrG5SeB/f+xQYAhNFjSDxum2dH8Js/Fs4mlBImVu/MfHIgvOaQ/ymC3zBQv5yELITDtFK1aHU1KWh4YccRMpYapKSIbnjh4hME7X4GuLEKhM7G4QOwFOIZN4PmAoNloYxgWruvSbPuMTZ0lm83R9n0sy8K2bOJYkslkmJ2fxWu10Q1BIgW6btH0AkpuilQ6j4wlUhmEvkdK6GTcLiIvwdYsHKXjeAoxWyOnC9YIh9C1yQz0IRyTuaML2FLRCEPqnk8I9GSytIUgFODKBKnp+EvHpkOmL5nyNIFAYGJ0DHMKEAaxgjjptAJKJdGEgRIQy873Sn2ZKVlyewrxQ2UhP6loE3L3J/4bWdPgy7/5u6w7fo6dRg/q4gUaOZdMdw9pwyCbcTHSBqfXu1Cp8Wsf/iB/8Ja3Y0wExPkeWmaL+UnYlk4RGAHrhjfxzS/dz93v/gUmLo6xOLOIZ1g8c+EgV12zi19+2fWAZLG6QKwSmn4d0zHRdB3DyqC0kLbfZOzCRS6cHGHN1s1oYUzc8qhfnKG3u49UXkfqBrb0sVyTVDpDlMT0F4eIkx6klB2tsTTpyfWiezp25PLQt7/KuYNjbO3VGSgtsvmKbZgCHM1g9uIEtmmx97oreerZU4zNLr5IxVj/OhgioNVo0jqUkC96zDUX6ds4y80v28Oh+03SvkckKpwbn8B2NtHU+rjthtu4+Ngxnjl2iMxAN6WuQfZu3Myo3qbsxdhenXfd8lpGsDg6u8jRkUV+9fLNrHXhYg70nEM68bmlb5ivfe8RVg1vwbGziKzNwaDNS/Ve/MYctmOgIg9ba5P4AblcjpkTp/n4d79BdtdtpIfXsfHlr+SWNf2MHj7A5kpMylcYGRcsB9OIaGJCGn7/f36Ma3ftZPXGbgatHCVZou3FYDpEHnT5gpxmUMlZfOfkPlZd8Sq0/CClZp28q+g2c2waX+Tx+7/OndfcQdtoEcQ+0krzxcc+TRsbec7BPpLGTkMkmmTQybga6TRYWkIzMTk5PYtmhXT1djN67gKWngKVkMjkRXPe/WDigY/kTX/9CQqOyV//+3ex4eIMO4w01swcrVyKQl8fWizJZB1y3TlOv24b4UyVd3/w9/jwW96J3vDwCt20cwGjixHDWY1Ej9i5eQtf+dO/4nW/+W7m6rMsnF+krpVZmJll11VXc/VLr+tEcSLxwwAyGobVIZgcMwNCpxWWmR6/wPHjI2wdvgYnrWh5EVOzswwOrsE0MpjKxEWC5WDncyjdoLRlFb1mAc8LiCPw2iE9bhdaQ6M/W+R/f/avaVcbpBLYvaePNb3dSF0QhCGthQYFI2H71vWcGpvnxNQkws6RJB1p1Y/IKv+x4ad2KF4eggKrysnyHLqyGW8u8OkPfIKT3zqADFK4Iob5KhqSidjEyZdoh2nmxhZRW3SmvXmMdMgk85yQzzLnzhJWWpxqnWFhrkxXd5otq1+Cu87mQ1+5l+3DWdKNy/iLqf9B7+khpuRZkBJsBTEIKTDUksbhkt/1Z3gOAtHJTJQJ6FonNk3X0C2zM8wulW2QLHGRWqfoojOE/bC369IQ9uVjvaxJvvRzUcvHNG1ElBAnEs2wmZirYjomcdCkkEqx//QYhXQWrbufkZMjpAyLnCE5O3KG/u4e+vr62LZjB4v1MqlUiu1bB6nVGlw4fxEhBH09PWQzBfr6e6k3Fsjkc0RxyLnJGinLJOMY2G6WiheT1l28tmR2skyplEHGOolm4CowtC6aNUUqiQj9gDho42Yc3KZBoknuKvZirB4iBhpJTLnd5sLiPCKfpdxq8ezZMyghqDtFGu0WdiZDUyXotoOvBEpoxOhI2RmYs4ZDrGICYqQCD4FmCKSmk8SdKB3DNhHoxEFIoi0ZGV8kp7YSgGYS2Hn+y6c/yyvWbeCKrEl5TZ6uDcPo2QL5VAZNSey0w5AL4VGfO67dQd1N0LIG07U26bRJtieFEB023c1kCS8EhDWfvJlhrj1FOWoztHYNA0ODmBmTZrNBz+p+Wn6LDFliFeO6LpY0CVQbhY9SEubBMnQwDFrVKfREkXgehjAIYoVj2+iaIJYhmm0glMDUbHTNJAk1RKxTH/foNYrMX5zh4iOzXL1pK6+87kp0LWTRK1O083i1Fg4Nnj08SqCZuNlu1uV7GJmYRD3/9fHPGy69Dje1JuggQqif/zqp3iwD66+kHKbYvifLo98ZIZXk6GkoNqzqp2wI/ItNbsnk+PLcCHNXbWWn0UO2OUuzFlMurKW7yybvz1E9dYr06qu5UB5jX9jmeqPK5T1pjs7bpDKSQmGSvmMagVvFvSJFcrTOkYcm+N5tFpf19rB1ymCqOkEjXaXLSGPNB/g5mwnGmTr5GdLnezH0Ejfd+ht0T/ropsDOmagoolGroZsx7dUlHjyyn941G+i3elgXpbAsm5YSNFyLBIVebeKkIFll8djMNJHtonsLqLpDPTFRKkWkJ7xiy5X4swdxG5KGU2J4Qw++KGOYA4RxgsikkCkTXfnUKw1u2nYVjcYsxWwKmYScm5jgyg3bOD47w1w5wEdHigBBgv4i2Wn6URAaKCeNZ9l8/sGHuGWgjy5qFDb3IXpK5IfWYQYxGcdCc0xWOxIZJdz1kt3UUwmJK5hpBqRtG93ocObS0FApg3ogiesRshlBBBGSgf7V9PUNkKQ6a51rW5iRj1tw0TQNJ+2gpEmYgF9uEiFRZUnactDMhEqtRqI6ucCaNJC+hmOZxETEMsFxTVKaRRh4ZPOCRq1FV84kqSzQbRSYOLSf8rGYTes2cevtW7BUA9fQCHxJ0mrginn2PX4S0xHYpXVsGC5yamLuBZl/fiqHYnjOZNOoh6BDIhK8OOT/+6sPcfdLXkkqlSM0Yg5+4wnuvOVW2raN0Bzec/v7+eqXPoOTyTM/X6dVq+DqaSrzc4gYegcGudCYoW5pqFaFQl+Wew99m7HsIvNjB3htfgu3veMVPPzRr+GSECcQd3xKKBTBi/iN/nxgWUtsoBCGjmYaS9vPz0kiOm5VscIQo4mVry1jefm+tKFt+ecv39X/oPlO5zl5RSsMUYnCjAyUjPG9Gt959Alcw+L6qzdR6F9Nc36BasNDNxx6evtJpVP09JQQloabdigvTiFlzOqhQbyWT3mxihAK3/epNBaQMiabS7F95y4WpmcZGZ/h4tgcBd0iCSKsRKcZatTrAV47wHV0XGVgJVBQBpowSehk2SaNGKW3Owy6bKFHCZqh0ZtKkU1rDJWKOKUuqq02hTCg2fKY11I0NQNPKJoCEgELfhthWQjL7dQohzFxrY3QBGnb6UhSVEfPqnQdfUnHLRKFEAm2YRJKRfIiYoo1AUZkYNR8DtanODh1jihRbCmUmN6/n6uGNvLe17+JLfku/se9n+c1ey5jQyrHTcPbuDg7B6Fg7ux58i+7ickTB9jTEijLIVfM86pfezVj46MMD67jqquu4olHn2Dzxi04usvs/GzH4R6FCCHIZDIkSUS74ZPUaxw9e5Ra3GBwYA3B9iYlO00t8unt6+NcrU7Vb3Xi4kIdZUqSRDFxbpSZ8SkGUn1sWbWBi6OTdBeKHNp3mPFnz7LKzHDztdfx6z+/h32PPcK37zvF0CaL1/3iG+l18iStkPMXbFatXsfR83Mcn6oyNjVNIkFoP2w8+jeJTsohggYXzx+lz76c/vx2Dh86zZaN67jr3/07Tj91mG8f+Abn//o017/u9YwWu1i7ajWXjRwgUTWOmA47u0vc2V5gg9eky4EFKXnp1iH2L5SZzNjMlBcpbhskrnmMzc9i5lKUxyvYPWvpytuMnD5KySuQxCZ2/yrOj0+TTmJShW5oBaRti5QQFLISixjRlljC4JodO6mfGGNA2iTlGnEQELuCRTMhvW4Nn/3MP9Db38NNG/bQoyClJTSlRxKeo+mZoOWxhYlQCe3qIv/rkX9gVe8mcgWTVMGhUQnJpFKEfpuU7nDLnptJlwaoLpb53sl9HD63H7M7y2A6RyI0vNoijblptg2sYmTyAtu3rKFZnaC5WKachNTaTdx8lsXybMe6lnRSK16cwokOlAKzFSFaCQ9WTvK9k8eIEtjopJjy21y3ehPvf8ObsXJF/u7ez/PynUNst3u4acN2Jmp1JmYnWDh7Hv0l16MCKJKnKTxkd4qbfvHlnD13mrVDa9i5cwePPvII23ZfQy5b4GJjijiOscIOiZTJZonjEL/h0WxUOHH2DIFo0l3MUtpSxHFtml6Z7r4eKvUq9VYdAeix0YlztA3GJyYpz5ylxyqxvj/PxGiCY2SZmZjh0MNPsMbtYs+VV3PPTVdz5OgzPPXtM2zd3s9rfu6VdOf6iQPFidOH6Cv2MjJWYWTO48zUBL5uX3K8nr+56KfGaPdPQVvRogqEMkiZNpoSWLFkwTbIBB5ZDKZ1cBMNDbBp4Zh9yMhEYxwhcoQqIiFGx0LDQMNGwyAgYIE6uBoEAc4qwS2/+CYe/MR90EiQKJLlZp6lymFe4KiZ/wv4sZlibMtSfX09HbZ/aShGCJShIXQNJQRKgJ5cYvZZMtwlywPwJWu2GT53rJelF0EQrBj0YCl6Ryk0BUYkO4kPQpFYGq3Qx3EsdCWxEyhkc2RtyUsuu4KsZTDgpgnqVXoLnYGm2a6hTEW5XKYd1env6aeU70VIQaPcoFxewPPa9K0usnpoFWNTo+x96atpVGscP3SE0fMXKc8ukk5niXxFq5UQJRLXyRA5PmnTxlEGXdKiW5iYCZQsGxWF9HUXyaZd3GSxczySBNPqvEY/DCl05dEMfek4KAIrRaJgod0gM7QaLWVz/yOP0AoCJqZnaAc+pmHjhQLTtkh0nVAqSDlU4xhPSnxN6xj6kAh0wojOYzTB+YvT+P5PvtFOKEDIFVmORJDEEtdy8JIQw7Kw2x6rXJsrr7qCK9xesrZFCY2vPruP9OUbqBwe5cnKHE0/4k3/8c1kt2SYMeZotgKiIOTx7z3OFZu2odpw8IH9vOsD76fp1EmlUiwuVJBxR+c+OTnN+OhFKoszdK3pYWj7OryWh1xU7N52NaVSgenWAqfHzjA2Os782Sne+ea300j5hH6AEWm0J6pcfHCEUphjYHWaZqPGM/sPc8OuTdx67VYGe3LoRgNDmWSzfTQTmG81qYxNoHkB33zkJJOLdYzCIGdmylSDJhLRyd77MeGFNtpdCuOS+iPlmiTOKtZd9VrqnqCtZejutdFaTboCnTgSzLc8elcNsEEPudULefDEfsZTGm+4/GZWF7MEc4uk9Yh8RqMZCxaaaR7WYh557DAffM2NaIniv56Yxx5MoTyPwdwGpi/s43WvupIDTy9QC3I8fv57vHz3boYrVa4fGsKar4EXYSmD++tP8cVDX6dm96Jp3bzvre9j7vxZtidFhsMGOT2i1qVxDsl//eo3uPvyG9jYXWJV6FE0FXO1C1REjWJK4ebX0mq7FHs2ceLUQRYqkzQGChTdfvqMVWQSSdZokSQxumnybHUaY2Ado/WQR558DC0l8Z2QmcVZVg+uJW2lMP0mVm2egUIaSlkOPPMwDpLNA4MII4VuZhj1GlycHqdFjKYLlEoQChL1w2vlT6LR7gehXRKdoRlmR4IWJQgSlNHZ0nSThFWWyY5dV7DVzTFQKNFvZfjSvu+hr+1n4cgI+xoNGlHIL/72r2Ct06mbVSIvodn2eOShR7ls63biVsyxRw/y9ve9i7apSKUdFhYWOiHPQlIulzlzZoSFiUn6Ngyzfsc6atU5/OmA67bdSnE4xfjMGGMTF5kenWXi1Bi/9Ja342cjoqiJaiXIecHUY2dJNRps2ridyYlRTp08wda1vbzm1hvoL+TIug0iqdCzeVpeQrsesDA5h4Hg6w8/xfR8m1R3HycnK5SDkEQYoH6sApmfbqPdPwVNmeh07jxjEdFUEdiCVbEJeoumBpHsuDM9H5AaLVMBM2BmOmkOSR2F2Vk9nTa6YZA0ax23vm6QThRtL0K5gqCi0e8OEngxGM5Sq4Lq/PGVhH/DW5D/NyC0DlMs1VKurOhE9KALlBBIvXOx0ZRYGX6FEM8xw//Ky6UmRCc0XMYIqTAdE6lDIhUtzwepcKRC002U1Dg/OUWX5RJaZfxGDdcYxDQ0Wu0m1VYFTYPZhRniOOby7TvpL/bzlb//KsVSibVr1zJfnSVJFKVSDwPDa2ByisU4oKlLKgaIlE2DhKYy8YOIdMohMWJCy8ZEox4q5oMAI0no1hW6DCm3a2QIcNtVbMdEKHBjA10IVnWXkJog8gOspWHSSBpoaNiRR1HE6JrNrVdehkTRaLWpV+uMXxyjEoOTcmnHMfV2i3LoIYTCljGx5YChEQkdYejUGgl+HCG1TrnDiwMaiSE7Q1+SICKNFA4EbdA1Yr+NAmZCn/En9vNwukClVWUAmNJB1sdJxWnaQUTWzfC5P/8sr/r1OxGbbJx8irie8Mq7XonyEmrjZd79gffxt5/7W2pynnVbN6MB+VwXczPzTJ44T9+mIa6/5WZSPRkoWFw4e4HFxjyPPb2PV9x8E07KJdddpOgHDJUG+dIX/o6dd+1BJglaPaY5WmHv5ddx5rvPcnJsH+//tffyvnveglcbp+i2CZszNFoJjpPmwFMjPLz/WQ6cmuE9b3klA7l+Lt+ZJj5+hmfOTNCWoDqbty9kQtbzjEsiLZMImhX8+UWK+UFcs5+oHYEniJJOVrMFmHMNRvMxbtcQb9h9B59+8hs8/OT32H37rRiaxqbeIYQRYngR/VYP+uRxyr7HSKXMlWvWEvpT5DJF5oM5PGFwzUv2MD5+CtNKkYQh1+7ew/7jR7jl9a9B8wIyXkJkhFSTiEcOncQnhcQhM7iOqXqdrmyWVLuzm6RnHGpawIFTp9h42Q4yWZ1iyiSrPBABkRaSTbvYaRshBKmMw0MHHyFXKDC0bgtSVzixQ3doYlsGkaaBJpidKRN293Fmrsx39h2gu6+b+cYRag+HAAAgAElEQVQcnoo78VqRQJKQttN09cCqngJff+K76MCqXAnXyYJpMzq3SENLOrI4luI4xXOV8y9WSHPp9SQKIUXHjEiDtlRgGYRJyHSYMP7kfu63NIJIslrBnAFRY5RS7FK3dDQnz+f+9G94zW+8Gq03IZ/K48mAn7vrTpJIMjc2x9ve9w7uu+8rlOvzrNm2FQ3I5TLMTE0yd2GCXF+BG/deT3HNIHQJGvUFgiBg3759vLRvF5ZtUOjK0662WX/bTXzlvn9g+2070ESEqCXMPjvPLRt2MfLgIxx5/Ovc89bX8tvvfzVedRojrJAxKizOeRh2hmcPn+WhR5/h1GmPd73lFRRLXVy542rEyTMcHpklFFpnZdASXojtgJ96pvh5QccoC1JHE4oPffKj/M7vfAC9DImkQ1dLsfQwjRePfeCfxI+N1XEcWw0NDaKWtvOlLjAss/OxYKljHhz53BK9PHotswqXfAknfO5CC98v6L9UUyxVjFhiiokTYhRNFSFsE3QNQ2jYSiMJQlKOw6pMCiMM2Tm0mt5cCpcQVEC+6FL3q2zYtJG2bFOeq9CuBDhmGhXqpGwHpRKmFyfJF7NIEdO/80o8L2BsaoqFxQoz1RbNdoiyCkSaixQGTT8ka/qARpIkhEGMqQQyjKDZJGPZFAydtG3h1ppkTBsVR9hJgqUU64oF+tMZtCii5LoYuk6P7ZMoSSQUmZ5unEyauYV5kBC3fUQscTSLSkaju7cXp5Cn4flUopDRWpVWGKFyGSIFFyYnieKE2VrE+OwssVA8fqFOvR29oEzxipHSNPmTP/kT3v/+96+EwWcyGT75yU/y1re+FQDbtpFS8oY3vIGvfe1rJEmCpmm0Wi0GBweZmprCsiyU6rS4tVotLMtaeR6ZaEgVg5agLHj1L9/Nhis3w6DJxNQ5Wv4iC4tTHblNaQ1h4HHm9FnCZkwuXWDt+mEyXVksR8dv1Eh0ARZUm1VGRk6TcVNcvn4XQdhEEjE/OY+pbPzFiHazyvTpMbZm+jn1+Hn+7D+9l41Dg1TDmH/48t/x7LPH6OstcM2ua9m4cTOaq/BaLbQ4JJdyadTajJwb49FHHycxDPRMibaWY/+pM6SzebZetp1nnnqSXC6H7/sUi8WOPK3RoN1u09XVRbPZ7JhjDWOl+SsIAsKwo0coFouUy2Wy2Sy+72MYxko5wk8SUww2ggiExDQgUS5J0kexZ5D84PV4bi+6lkKvV4mTGtOL5xCLNa7cvYcN2W5u7FuFHDuOllN89/wJNrhruHLNWvIueDLi6eMX2X/6WZ6ye3nVjdu4zE3xpcen8AsZ3GGXPdteRlA9z8ahmGePzZEq9EI7YGxxght2baZ/scKq8TIi6/Lg1Bm+9NR3iA2TwrZruGrvy+DiFFe6FmvjkKKRwksUX3rqCU7PzbF24xZuGSyyxsyQaXskRkxLeLhRQFWCKSSxCR/9zhd54x3vJNWwKKYlVtsk5RXxUwbn0x51YUFi8d8fuI/uTcNcHLvIxsE1+F6LQItYl4FqpU42k2H9QJHTRx5jrjZKhohut8DqUg9WyqUcRlyoVZgLWnheG03TCJcKhC7NGb8ULzRT7LouhmFQKBSo1Wp4nodSisHBQUZHR+nr68PzPNLpNNPT0ytrzle+8hVe+9rX4jgOjuOQzWZZWFhgfHycvr6+73s/rEAzO7F0QoIFr3nnG9h67RW0nJCF+gyNYJFyfYooiOlJ95JoMRNjk1TnmhSyBYY3bCKVT+NkHPxqg8SQREZCvVXl9KmjZF2XPZtvpR03qbWrlOcXULGBiExmL4zRnF5k2CgyeWyS//6R36WvkKXtNfmbT32K06fHyGXTvO7uu+np7qNgHqHdbCFine5cP+PjNc5dqPDYo/to6ZDqHWKWFGemZmk1m0BMNpsliiJ832fjxo3Mzs7i+z5DQ0OcP38egEKhgO/7nXjWKELXdZIkIZ/P02g0/rla558xxS8YLkmfklJSrlZgoAS1Cj/IDL9YuLMXClII2naHLQ5lpw0rAVAKXSr0pFPr65vfH0sHnQIJTYEhRKfBTCkCTaEvsc1SSlQi0fRlo12njlhIhQw729eNIFgpCbESEFHHHLksR5BKIH2PxURi6oInp6Zw6hbFvEN/Kc+wNEj7DtNHJxjcvAqnOEAwmKIa+Bw9d4GF+XGG166l2LUON52lN5/H0SWNeo1sKs3p8+N4hk2UcVgMFOlcF04qS21yBmFl8KIQZWpoaRtDM1jd38/Zo8eoxDEXG3WcQBImdYrpLMJQWEphaxrPqiapVpug3aIYZbAMky1jEalUClPAqiAgZUm6zRy2FBi+DUFAWhiUNR/NU9TmJ5ESsrrGVqlTb/usXz2AF4ccjWbId5UYfvVeFpp1Lk5N8exffe0FOYd+FJYLI+bm5nBdl71793LvvfcyOjpKoVDgnnvu4WMf+xjbtm3jU5/6FH/5l3/J3XffzW/91m/xjne8gzvuuIPvfve7fPSjH+VNb3oT7373uwGW8pk755qLgSE0kkSiSZ1vfuarpItZfu5dr2fd2iF8M48dmQjLIJYa1uoUazMbOXfiPNJUOL02vmqDZSMdE2HqSKVIZwqs6h3i6MFDJCcFff1FoihgcXyCuYkZ4obi1Tuu4OevfyW9uR7Wv3UD333wO3zkEx/nJduu4W1vezsyCUjikIcffpj9Txyla0Cj1axz4tAhxkY7JQTvfPcb2bn7Op4ZuUhkpDhy4gwK8PwWv/uf/l9+6Z638ZGPfIT77ruPb37zm7z+9a8njmMeffRR9u7dy/79+7n11luZmZlh3759fPKTn+T+++/ni1/8ItlslnK5zNve9jY2bdrExz/+cTRNY2Zm5gU9L340OhylWNrgQ0Vo1KjOtUhl+pHCwbBtYpUQyQYqnEGZkubFRQ6vTzM1cpJb21WGM1nuuOxyUmUDc75K225T0xPK8SI5w4R2k4U4pB7rbFy9hokwZHx2jG9NfRdHazI1H4Es0teXwZm1aYQ5YkMx1yizsZjl6XMn+MITX8dDkBUZLtuyk/JsnUHdIScEthvTCEKmKj6VULBp0+VsWL2aYtpCeDGBtGiHAs11EEFIJGKiuEZCxDU7ruP4hfNct+o66lqdlGUTRYK5JOSZVoWLjZjKgoe+ag01wyHVP0QrSMi6XdQXZjk5dor1gxvpSnXx9FMH6OvOsGPwGvJxk6ztENXblOstyr5Hrd0iEDGRStCSBI1lD85PFjKZDO12m3a7jRACz/MQQqwkXZ07d46bb76Zp59+mv3797Njxw6UUtx+++3cc889bNiwAQDLsmi32wwPDzM/P49pmjz00EPccMMN/MVf/AUf+MAHVrJ7pdYpQjLomM6/8bf/yFfv/Qrv+b33s75nNQ3bJUXHIJdO5wnzPsOF9YydGkfGglwp24m4E7JzQ28ItDigxy2RlDZwYP/TPHTkQQbXrkLGAbXZeSbPTSB8uHPzZq64/iUMlgbZ9h+28/AjD/CBz/8dL71sB+96+28Qxx1D/AMPPMD0xBwtoSNUhuPHnubc+UeQAt71a69lQ34Xhx46R11qnDp/gQAoFHLUqmXm5+e58cYb8TyPY8eOYZomURSxsLCwYoivVqt0d3cTxzEHDx5k1apVpNNparXaSvXz/Pw83d3dNJtNfN//Z/+OPxuKnwcYQLwkGVbAH3/kI+x986t44tzXOlNwojoNYT/DvwjLxRu60NGMzl2hQKA0QHU25eWPkDgum+6EAqV1bq4v5RK/z3QnL2EifiC27Qcb8C793k6dcafEIIkhiCNEqLFYLkPok+/KYwuNYqFAvdnES2KUlOiuC7pGs92iUqvhyTrtVBvHtJianObi1BROqQfXdRkZnSRV7EHGRoeFEB3mrdqsYdoOQtOIpSRKQrwwoNTXy8SF8zi6RrXVQKiIlpV0Uj4VRCRolkLpBlJphEIDBJNxgNXuaPfitIPhKxaEiSElGQmu0MiaAl8qmmFEO447xyVSREisTIZyq0WlVgXLQpgWhw8eJESyeu1aMpnMj+cE+VdguQjGtm1++Zd/mQ9/+MNs2bKFL3zhC4RhiJSSbDbLPffcA8DVV1/N4OAgd999NzfffDMvfelLueuuu7j33nu566676OnpQQixskDqug5JQqiWElQChRGYtFotPv+f/wZQbLx6mOtu34NdcGiTIJsJBSdPJZqnMV1j1rvI8PBaZDkgnS2hoRO1fURkUT4XEjzcYrRygl0//xqq5UVu2HAbj5z/Fu973y/xj5/5LGXf5NGRB9i2cwcP7X+CrtV93HDzEAvVZwgjD8fWue32DRQLJVpVRbvd5PING0lnCoyMTvHk4ZM8/cwxxnzI5HMY2QxxGJKEIcbSDsWv/uqv8sUvfpEnn3ySL3/5yyus1/3334/rutxxxx38yq/8SieC0La54YYbWL9+PX/0R39ET08Pn/nMZ7jzzjtpt9v/x8XrhcNSlS8a8XLEIJ3WvokL+9lg53EENC0DLd1NMbUbvanD1AIDzXmqZszDrsOc18UGwyaX98gkHkbkktLS3Lx2PQc3t7n8sVMsHpln/2qTyA3RnDy7SpezMD1J7C/yxP3fBgP2P72RPbtfybr+DTRHGlgafPzUF3li/wg2V9FO+3RdcRWNWkxXnFDSJDKTpWX38tDEDAcvzLBp4+Wk67PstD20wGC6HRAlMa6hSAmLw+2QVtVkeG0/ljHL5f1dfP5bjxALnSvXXMG4JjkdznDyzBRWrotZ2aalJZRElmBRUOxeS9BcYHphFsdQbNy2nUao8b0jR7hp17X0mQFW2MRsu0RRQlPXGfPreLoi0mIc2yEIgiUJRScjvYPwBTkDLoVhGJRKJWZnZ0mn0/i+z/r167njjjv43Oc+h+N0fvfR0VH+8A//kHvuuYff/u3fJpVKIYTgne98J93d3QwPDwMQhiHbtm3j1KlT/PEf/zG5XI7169cTxzHvfe97sW37uXSkpbVPFzoqkSSLEQLBX/yHj4EGl12/mb2376UtLZTUsG0XzTdJhRmqM1XG2hfZuGkTwZxHKpfFiDQMmSHyfGbOJXj7JeOVi+x81QZUZHJVaR2HTifc8+bX8+jX/heL0QjfPPJVtl55JQ8/c4AN2we59vq1zJYPI+MQ29G48xXrSKdThHPnQAn2rLkM08ozvZBw6IkzPPbEcc4rsJ0YX3YYxCiKePjBByiVSrRaLZRShGGIZVl87GMf44Mf/CDFYpFPfepTvPnNb2Z+fp5ms8nExAS2bRPH8Qpjf+bMGXzfp6+vD9d1/49/z5/JJ54H6ECiCXSlg4pR3Q5v/c1385k//HMIYsxELIVUv1jLl38IP75Gu5Sj+retR1sq51C61tmS1TR0oaEjUInstPctYfns0tRSRC5LujSpIE5Whl+VyO/7P0kSxNJwLJIOh7+83a7rOvHSELhsyFuGqQlsNJAS3QJhgKXHWEJyWU+RbaUeevJ5jp0+wMbt2zk+NUWqp8Say69g/6HDnD55ir5CET1JMBDsWN2HlU5x6NQIq4eHOTw6SazpNIWLj4PtpMkVe5icm0CzDMJYkkiNXC5HtVxh9+WXs++xx9ADn1aziSs1TLOjJU5Zne23xPNIL+mMcykXQ2iYrrZyDPpLBRI/JK7XMSTkdA1L6GhhyDUb15JKpRgbHUXTNLryBdAUpmOTzufQTQOMDps+vLbEXLmClXJ5459/hROTCy+YfOLSCL4k6bQJdnV10W63qdfrK9ufyxXimUyGcrkMQH9//wqL2dfXh1Kd1JDlSmOAbDZLq9V67vmERKEtNcZoaEpHFxopYdKMmihNouUMYhV35q4EMDrRXyoEQwPLMsh1pfGiGrUqXHFZiU1DQ7zt59+ECAJ+6Z3/mWt3XMaZM2O85hU/x31fvpefu20P/7j/SWzH4vbb7+DRhx+huVDj9tv2YkYxQpPohqJWWUBGinqlxshIjWwWak24+tp1JHaBiwsNjp44R2ntRiamxjFTnUr1VrVBMV+iXF2kq6uLSqWy8ppt28Z1XbLZLPPz83z84x/n7W9/O4VCYSUjWdM0bLvjNF/e/lx+/10iZfoJkk88d1794M2xZmZI4hJ6eg3DW/cSYWA4LhkEl6e7qIR1Hjl9hMHSIGv1HKsdj20Zix5dYeoWo5UWo77GmX7J5GiFM6eOgZwAw4PEYtXGTbh2gXPHTyD0EBWHbB/cS2HtJhJfg3aT0yPfIbEnsNxBmo3V9F6xgf7e1eR8g1Wmw86BXhrlGZ4YOcNZwyW9fj1Z6XNNRmdHY5ZW6DK7WKOQy1MquBy7cIZxadOv9zDUY2KpRYSo8fSR01R86N24h+8ceoYpbLDzDK7ZyFRtgUwph9HyyXZ10wp8ynMX6cunGCimWJvL8PgzR9hx1W6SRg3Ko6zKO9hJDc3WOT42woXFKeycw1Rtllh0+DupJAKxIjlQz/VuruD5lk8sS6SiKEIptWLYXi6BchwHz/O47777eOMb30hfXx+Tk5NAZ+vfdV183yeKIoIgIJ1OdxIiLItarbbyc5RSmKa5su4sa6uFEktnpIbqHB0kcafl1oR8b47FxXrntLUAU4CvgZeAAsMxyBZy1MIy0oONq1NcsXkzb3j960mShPe//ffZe80VPHvsDDu3X87TB5/hVS/dxcMnD5BIuP1ld3D00GFmxme547ZrMWIN29AxDcHi/DQy9qhVFpk4YxIRMtDTg5036d00xMEzJzgzushCYnbIJyFAJbi2xb59+3jiqSe58cYb2bx5MzfffDM33XQTf/AHfwBAT08P73rXu/izP/szKpUKn/zkJ7n77rvp7+9ndnaWPXv20Gq1mJqaotVqkcvlVhpXlyQVP5NPvFC4VCuesl0iBH2FIms3r2fs+FlkJFlp9V6mk3+GHwkhBLppIJc0xFImoAkS0THhaZpGIpZKJpaO40prXaK+r8FOio50Ap7TD1/6T1zCFqsf0BwnyXN/1UtzrzsP0pFCQ2hiKRoOdNtEFwnSsMG0mV6o0PJ8Egkz8wv4ixVatkuu1Eu+t4ofxrSaTXZs3069UcFIJLlcASkhZZn4SsOQijj0iZIE3XGwUhZCNxGmwotiEg10x8KPI7r6ehg/PYJhGSSeThwoZBITJzqGJtCtFKFhoQlFUxgdltPrMHWaUFRrDVSckLYsbM3A13REEkOSMBAk5GwY8yOCtodRqeE4Fulshm5NMDM7i+4YbN68mWa7RRhHuHrm+47hC4GVhfWSHYLl7U6l1Mpwl0qlaDabtNttHMfB930ajQaO46BpGvV6JyXC930ymcwKw7m8bboMTWpIbdns2Wn4EwpacYBt2vhRiPCAGDRLICKF8kFTGjoahjRxTZdHv/cUTnQGXVOEXg1dJcxdOAt6yLU7M5w4eZwogv/97fux0zbfeuxJXv6aV3D48FFOnDrLL/zCL5ARipFjB6hUApIkIOUYGCLFmnVr6Lmmlw/8xkYajQYnzp6n1g559uI8x86cIBAmXrtNHAfEXrBycWt7QUfStKQPTqVStNttXNclDEN830dKuVKos3wsoTNURFG0sthrmkYYhj9UjfuiQFwD0SBpTXH20CgYPazfdC2Gm6MmBC0Ehl2kSYop4dCfFsSG2al5t1JE3VmOT82yoHL4BQEZF+IujMhD1+pMjT0G+mpQJlfvvIl12S42GSWm4phWGNESEpVApPXidK9By/ewuriG1dJgyIZi3qHuN/jqgw8ykni4G7dQytuIIKQsFIulIguLDfyMRV8ux8LiHKlcHpHoRK7FfAL5pEC33sW16/MEMqS65kqMMxNQyFAYGqbVDum2ijQaNbKlHJ4MqLRr5ItdSEKkplEth+SzA9SqCQ4G/T2DePUFRpvTVGplGmGLxNRYqFcxDItwSeevCW3lOvuTQOhB532eyWRWzvUkSUilUgRBgOd5eF6nmOutb30rxWKRVqu1IrWI45jp6env+3n1eh0pJfl8HsdxaLVaOI6zcuPoed7Ke0UtZe9LQNc7Gf7Ln3cMmzgM0doGdOwmpMw0siVJAoWWGAhD4po2Tz/yGK3aPnpyObzFRTKWxfjEKHEcs2uLyZEDx2hJOHT8CKmMwf6Rw9x51+v4+je+xcFjx3nDG3+eLlvj5MH9tD2NermG61gIabNp3Sb6r+thy29kKFcrzFd8nj58iqlGmVPjdeox6IZOEnfaegWd+Mi9e29g1zVX8573vIf+/n4mJiZ46qmnKBaLDA0NceTIET70oQ+RzWZXiKnf+Z3fob+/n7GxMTzPQ9d1tm/fTiqVIpVKrdxw/3P4GVP8fEADNIGe6BgqJtDgfX/wAVpByN/8lz/H1jVUIJEK4n8bQ/GPjylOu2r1zi2d8g7LIEhiTNMkTGJMTcc0TWT83LClscQOK0BKtKQziMgkQUqJlXQG4jiOO3fkipWBOFl6jGA5eCBB1zva4+WP4bkoN11f0hYbFs7Sc+oWxDImnTEwhGSVY7G9t4+43YawQqhAdRep+CHzMqF//QYajQYXL17EMkxEIrkmk6OrmKcV+JwfvUC2p4dEN5lt+niaSyuK8UKFr8fku4rYjguGTRBEZFM5ksDHNQ2OHzqEQGJUOw1GYRgijI7JTKoENLXEinYMiwXXXnl9CIWmgd9qoi856g0lcAyDpFGnr6+PJPBBSWQYoGuSIPB46Y03YNoGh44cxLZtdq8uEivI5/P8/n1Pc3pi7gVjii/NpF6+Dtq2/UNmllKpxOLi4sp2nKZp1Go1gO8z0mma9n3f+4PP78jOTlCsdWrJNQW6AmGZREGMphkoqbANgygOiAwFko5MSFhESYSetkniNvHIVyhX5gjDKq6pCKrzTI6eYyLKcfZ8iw//4d+zZ+81KGJ27dzC2QOjrF47xEOPP8Sr73oF//MvP8v1u/rZfe0WQr9FoStFFAZoCuJYMTWhmJ2dZfz/Z+/Noy3L6jrPz977DHd+Y7yIeDFkREZGTmQmgymkhQMqOKIm9Cos7UKcAFdZTq2gllZ1rVJLm+52KhAbWxRpV0khgyCDhUAyCIkJmGMEGRE5RMSLNw93PuPeu/8459x338uIHMgYXmbe71p33XvPPe+cfc87d+/v/u3v7/tbXGUjSFgKFcsBqFKVukqZmBlnrbvOf3vrn/Crv/Ib3Hf3MT7xPz/CG97wBo4fP87LX/5y7rjjDn7gB36An/7pn+aNb3wjf/Inf8LP/MzP8Pd///e88pWv5AMf+ACrq6u86U1v4otf/CLPf/7zCYKAfr9PvV7fcg13aqR4OxyqGNHBZAokwAFbpu4eoV6dYWzP1ZQmZmgHUKnUeFEp5rBSTCGJHcVDQZ/Pb6xhOUhqA1Y3VvCqZdr9RSK9jpUW5e3luqPPp2oCZpyYm2p15h9aJwxDImtZaC/zhTNfY9+NN7H3+pt5Xj/g+WMV4mCOf7jvn5lza/R0mY2Vu9Eti4vPuDeLKTtc/eLnce1YDd+WOSRrqPVVdBSzaqucKYe4fUs9UYwZByEC3KpgQU3wzw+fYmW6wXKrw3V7d7P00HGOHD7IXCem04/wSjVKNqG7Ms+B6THq1sP6FYTrYXrr7PUjukunaasWZ8+doTJWYb3XpBt1MMIOkqSH5WuZhOCxa6tXKtGumAgWutfhpG3HcQZ9RDFZdhxnMAmM8lwVKeUg0RcYTMLh/H0TsrAdtTgVjzTM5SQaGvUxHO2g+ymhDin5VdrRemYrKzys1cRovGoWNF786luZqlXpLMyhpCZOejx05mFWVxvcf3KD3/2jD/KK7/5Wziw+wne8/MW0TgT4tTJ/+3fv42fe+JO8/Q/fyTfeMs4LX3AVrlJMjTXQUYI0Gh0nnLl7mkTH3HvyAbQHDzaX6QhBbC0Rm34EFpFPhDQXWjsfivaed5JULpcHk5HhbXEcD6QnjCLFVxAGMBZNiiYb5L784S/wvB9+GVQkcddQsrkNiZU8a0QUlwJDkVwlJcKITEZhIBUWRwq03JRKGDL5ihWbEePzZS1ba7fILIpPZd6xFaL+4vlxIQQagcy1yYk2mFzn2w0jOlFItVLB9zXNtTUafhllBJ61xMYye9Vhjp18CFWqoFzJ1N59WeU9t8f1193I3cfvpz4xSRKEePUKWkqCNIBUE3V6iNRSa5TwvTJL5+bQYUy17OMg6PcjbChQlTJYTRprLAbHU5leTxhQmVexTDPyn0qBUhIrJRW/QhLFREGAlQpSS+j6SG3pdHq4SqK0ZnpqjFBIjs9n2dWLvYiqkDzcDjh37lzmUpA8dunzcqKIDGf/suw5SZLHkNmNjY3BwFUMSsU+wwNY4UZxIYSDj2Q2+SKfBCfZaodBg4TQxCAF0mx29tpGKCmQUYwSLt/7b3+Dv33/n7Jx9gsgDV41q1BYEicQSKyAz37hHr7/e76Dv3zn31Dy6nzxq3fy+p98Nffe80/c9PxD7Ln+NiJcjp24j6WFE7hK0Ox2qIxVmZ64hsTbzxcXzhAaMu2GEYggQExVePiRs8zPz/PBD36QbrOFNRGve93ruPXWW/nYxz7Gm9/8ZmZmZnj961/Pz/3cz3H77bfz5je/GYDZ2VlmZmYAeP3rX89rXvMabr75Zt773vcShiGvetWrBpOP4ev7TIAmT1gwJu9wUqBDED5CJ1xgqbWMXxpjYnofVWcPC2FEpVHFlH3Wui0eWltlaW2F7vLXsG6KqE7jVW9AlA5hxQTTe6aI+w6RLuGYPoEjONMPcHdNEzWbHD5yNSc/91ka00eY2HMYfJeDtRq6OcdGZ457z95P6fqXkkYVXnD0ebgdhRsprPVpW01rbpmFc4tACXfXLJOkuNrQ2digKdqMORUSVaJDQnl6jK4ynDxzlrVOi4XOGmys8dDKAlFnnrXlU4jaDLYbsu+G5xOtr6GiiCN799Jq9lludrBSUREx3bTFWnOFpWAZqSTNTptu0sdKmf0uBn7EIk/xuHxlf58s+v0+sLlCNNy+4hbsndYAACAASURBVD4eXh3bfm8bYx5bDnpIV/8YQgxg8lVKI6Gfzbq11kxPT1MulweOOKVqiSQNUY6TRZkrLv1eRqCtLiGiiB/7yf+Hf/jM/8CNP0MatFDax0lCSqWvUSkpxsrwj//wRb77u7+TP/tv72N61z7C/hq/8HOv4/N3fIIbb5nlulu/lbTicvc997KxchJlDJ1eF6fsctWMhyyVuOvkOq12Cq6ERJL5biVYNtX6cXqe77rtWhU4332wnRBfaNv5MIoUX2a4rjv4Yfzi//s7/P6/+3WkFTiRyGSEQl5qw+rLgUsX1ZHC7nneEerjY8QiK22ZYAYFOgpIRKYZNhaRk1OlLSofq2yaRYGd1A5E/FrrQUR4C/lGPGY2WmjGVE4gjTEopVBK0ZOSinCQiCzqKgzGSVHSsKfic/XUJGOVGo20zVqnQ9oYp52mnOl06SI5ePUhzswvEAQBSZJwXaqY3TPD7FSDatlndWWBdqeHKFc5fmaR2vgk0q+w3GqysrKGcjyk8qhVx0nTLKu41VxnbWUZ13WppgKZa3xTa5ASpOtkkhMh8gIeglIRjbE2S2gkmxToOMKmGk85OErRkVnih41jlAVHWFxpcBwHYxKEtLieR5qmGJviSAXacP+D8/SDeMcX79hpEEJQ86vU64p+Z4P7v/JRZiqGs6ce5OyZr9KX07z/I1/g2IkNTj54hp/+8Z/iw3/zl9zyvGt53nUHefdffJgX33aU2X2HkKliZWWNY/c/wHqzj9eoEFnN5IEjCNfhn+69F+F5mASUAQdBfVdjkM3d6/WyBKhc99hoNGi329x0000sLi5y0003ce+997K+vj5IrnNdlziO6Xa77N27F8dxWFxcJEkSZmZmBvrKIAiecZFipAHjQNZrkBvZI9FoIfHULtzEJUVhpUPiV7FBE0mAEprUGqx0QK3mrkW78XZ9GzMHXop2Y3QjpE6NioZpNwUdcv/dj9B04dprDlPxPdLUYakbs+vqWfYcneLqk/PsCRf43Fc+xF3ry1x764/grM+w241YUn3SkqGWBuzVgud7dSrGp+M6LKQ9Ou0Vgn6f6vghpqWiUfGRSrAe9jkdas71AlZQnFleJmq1oFLmqr1TnF54AGfMZ1z6RLGl24nw4oSKSdldryBrh3EqDZyyj+mtMiXbyHCDHsuUqiVOzT3Mcm+DyERYZSAfM4vo63AUdjuutCXb5UYROfc8j7vvvpvbb7+dffv28cEPfpBarUatVuOtb30rp0+f5j3veQ9RFLG+vk4QBAN7RIAoFcT9Fj/8qpfwlt/5depun3NnTzF/8k6st5+/+9hdPPhIwP3HH+XHXvsTvOedb+e2b7yZG6+Z5QN/+w/cfNNB9s4ewlJifWWd+++7j3YrojJeI8VSnZlF+R7/dO8DeVK8QlmBgyA6jzb8MmAUKd4JGE7U6mys4880iObbaGnRRo40xU8Ci4+cIZ3ZxeTsHqLU4CmBsVnFuoLISiEhl0KgDcLm0WNAmEweIc3mbL2QTBhrs+hwvl8RX47jeLDUBVuX8bZvU0qghMhIscoKjKRYlBQEOqGbJJSlxSqJkJKVlRX8iQlc16PqlTl7Zp6D11zDqVOnCGPN6WaXtTDGmD0k3RZX793FmaWHmNi1m/1jdU6fmyOyUJnexdV7Z1lZWcNzPMJmh1KlgkoME7UGu8YnAYONQ+bm5rLOUIC2IIzAkQ4qT1jEQlMkWVkbR6Dc/JoIgxESLQ0Kk3lkapXpr012nV1jiIVFpml2baTIKkdaRSJLmESjkxR9acauZy2GJ32tfoBT3sNGv8OLX/pqPvLe32K83GWiNkV3bY3vftnz2LVrgXvvPsVfvPOvOHL1XmavvZEPfepTmIpAu2MsrLZYbzZZWlomchzk9DhrsWGjH/LgsWOMTdSzlZY8KdVBAWYQsVpdXUUIwcTExMBJpEicu//++wG44447BiWqi0hYkazoeR4rKytorRkfH2djY4Pl5eVB9vjOxeMYZxrIRTKb3bjNI2DWEJslhO8PJFdJEGW5RflfFWYW1oDUHmCpBGdxnUW8sQNUXElzKcArNQi9EsIqJnftpy4EZ762wDd8wwvY6K9y6wuOsNJeY+7+Za6q+nzs5IMcmwtIxRiOjTAzG8SBYrdbI8bA+BidIKBZbbDWChDWkkQOtbGjGNeSiDJnRA3daZIkTRJfc+/CMuupIHJWmTqwl9WGi+4lnF7rsf/QbUhjMEmPg7tKhCvzVByJ5/gcvOoQx9a6eKZB2E4oizJrwcOkeplmJ2blzMNo+iDyqKqWDGKIww5BI2xBvV7n+uuvp1arcf/99zM2NsaJEycol8t86lOf4ru+67s4fvw4wEDqN7zy5ZbGsFT50N/fz1fv+nE++oHfJbXrHDp0PccfeoTbb7+NO786x513fY13vfuv2L1rkquuu5EP/8+PkzgCrzHLWidifuEMYRghSjWEVjS1YrXdordxEsfLVrGwIKzFIavNsJMwIsWXGcMFIf7s//ojXvaSb+GOc5/MfvKiWHIb4XERp2ysrDG1ewYpBYhNUmrsZp2jTBKRR4shC9pYkCbzIMbYTV1SToi3L6kX74eJ7+DYQ6R4uJMWwiKERUHWNiFQUuC4DoYEVfKoT4wzTZnG9DSLx0+QRjESgSsVOsn00SXXoy/6qGqdWMfEqaHeqFOvVLBJStLtMjW9l2AiYnkjcz3QOqVSKRFHmmLwjtOEUsmjUq+hbYqvqswtL5IYg+96+USiqDEuBmO+kRkRtkZgbPH9ZZ4hnF1Dow2OzZa+pM6vKQYQGG2QjkAYkRFvIUAprLZciUpFz3QM32OVimKjvYbr+3TDHo2xMsqsMDY2QaxAK8X41Az//IUv8eV/afLPxx/mn48/zHe+7NvwJg/ymXtOZLIHHxyRWUamRtI1BqsUCkGr3UXmiSlCWIw1SLJlYsdxBm0qkolKpdJAh1987jgOWmvCMCRNUxzHGWgps+x5MSh0Umwvlp+frZH+IknqcWFdrNAI26XZepQ9ymRR+XKCV3Jp9jaI4ojxus+eq3ehu4qjVx2m3+/w0LGT3PPlLyEnqvj1KhuxZM/kLEdunma91ea+4+vc8uIbcGmShpo4TWhUy1TLDs3ldT698HAm25qdIkgX0FWXtVaXaq/N+soiSdQnFT6Bs4fS+AHSNUXfg1ppmuruOkkSMLd4lmuvOUKwYYmVS3l6D+21daTW9M4uECuJ50v8asry4iNMTniMVWbZSM5S0lW6/RA7khE+IYoxynEcVlZWgM3f5+7duzlw4ADGGN797nfzkY98ZPCbstvGOmttJpnAxySG733F95P2u9Q9ixEldu/ehXQVL3nRYV78/DJfvqfHAn3++M/fw7f8q9uoRDEfu/N+wn4X5WXqITRoFO2kjxXgKIdUW0QxXtpMbrTT/s8j+cRlRrHULqXElA1TjTpxL6LbjRn8K575V+OSLnUqmUU3G3umOHDdNQRpjHFkrstk004t1wkLbcBYZGpwc303SSaRiOJNn0utNTYf0MUwYbaQGj0o2lEM6GmaJfm5rjuY7EgpCVxDNS/UIITIykE7GiENVQcOjE+wb3YP9eYiu/bO8sDZeUILTa1oaYtWCul5CKUy30VKpP0uex3D7prP/qrP1FiD5aVV3Po4lfokZ5dWmHezKlElv0qrGaCNoBdG1OpjKFfSDno4nsdVhw/SbDZZXV4jDaO8oIlEGZklf+VyEek6WXRPgFAyi+zm1nTK5gVQtCES3UEUHpPJVjKbM4t0HKyARKdIx8G1CmUNNtWcXpwnjKORfOLrgTVYp4RNQ3wFxz//J1RYwtoqSRoRpzHn5hfohRG9fsx7P/EoH/zQlzI/bJF5Muu4jxYmmyySdztKgCORSb70v/20wiDs5nUtBtaC4J5PZjQ8+BZ9X6EXLl4XyS8XIos7Sz7xtM83dH3UefexuAgiBBZjqxx+4Q9Tmb6FiBBpylgNa+sPUy0LSl6d1lyfiUadiclxTs+dZmFljqn9s3i1MiXGcXRC3XPpBREPPnCKW1/xveyJ51EJtLsdao0yXhRzjVvhtK9ZWDrLejzPfQ/cBVUFSQC2CyKb5FpdB+8wMwduxKQ+QZJSHp8gseBWy6ytL2HX1jh49AbSoEdFWqqlMmkUo5SD5xpaG6s4yjJWV6wuzuGXFA+fuweEJklapHGwaaH5FJbXn2vyiQLF2FQUDCp+V4WVm7X2cVdgsj7AQWCoSsNnPvJfOTgjiIzAxBEmjjh3boF2PyDSlre9+4vc9dUz9LVAuXUSbUijfqazsoABKbPhFgnoIgZ7vpWWK1K2bCSf2AkYXv4pk2XxIwXKZkRvtKL8+BBkpE25inaziTUGHSeZ9KSwQBuCtXbgHpFZrDGwWmPbbPnxUAzghf5q+G8u9PeDrbmTBUbjlstoLFEUcXBigk6ng1KKWqnM6lqHVFt836fZ7TI2MZHpnEsZQdY6wRjD+Pg4Fd8n6HepjE0xP3eG+cU1WlN1SqUyG+sbTEzNcHZuGd8vEyUxrnJxPA+hJJ0wpFSvI5st+u0ujpDUPBdrySLogJICzyiMEZjM8RJlLdbKTBaiBRiDTgyxkw/wWYpXVm1KG3SisxxTBHGS4hqBK0xmvG8s7IAJ+TMVynokaZYU6TgabAmHCWIV4TsVnNShUlL4nmSsAf/L97+Mu774JdoJtLpBNmZZg1IljImRQNnziHRKkqRYq/ICCbk7hxJYkb2WPPY3Nmx1tD0CVaCIIBcEeNiP+Fk9gdmG4Wty4aCUyqppSkD0eOS+z6Bq57j25m+h3+3ilapIynS6fc6uLTJzaB92fJzlJMbfv5v9+6epTY1TaVSJNmKIY6J+RLlW58aXzbDSX6ckLG6kMcJjvdlnV6lELzbYxSVumBnj7z7zPibZIO2FxEAoJJARHkUHE22wfOoBUFMgHcJoH15pmsmJFxBX9hO5s2z01xEWmmEK7YA4CNFJyv6JCaYmdpHqPoHRaHea5WYfPEOchOg0JEu+kjyuhnuEAQrCWxT3iOOYiYkJ2u32YPXlQkWnAKx0QSisSEgUXHvzSwjXH0In65S9MlI4TFZLVP2UTrjBb//6v+c1/+ubEamgE/dJNQhlsNYZJEbKvCps9lYgsAhylyabFnrGHVXKdxQpvoJwPJidnaLb7bO+FiAFGOPg5Hq0TFIxtL8dTMA2PY0p3uwoXNKojiNVZsmmBO5UnZnZvfgTVawU9JMQKwXVJMuyldnon/kMa5P9SPPIsbUWEafDFi1bol1F8QAhBCqP+gq16ZNpCltiKbd0NkYJlJtvUznJFBYlwRWCsXqNmalp9sbrVPwS/W7A8voGeqzGkoTYcehqwdT0LubOLKCXOjhC4CYhMo74xhuvhyjg0OwMnY1VSiWP+fl57gkDXL+KFR7dAByvShAnRFGAqwSCJNM7V2aoVEqgDetra8RBH6xF5VE8XzlkXmDOoNMsCMzwA/KM6dwbc/i6FZZEhXZycH3MJnFaXFwiikaJdl8PBAaTxzQkKeMe/OPH/pojU036QYsoNLTWYrrdJp3eIzT7ltAe5Y2//heEaQyqj5/6JPLKOoA8WTybIsVbcYF7VGQuRJIs2pbqGjgNhJymXr+KmT1XI8ol+mlKFNfQux2qpTJREKLjhPWNda695WZSLO7GGiIxeMJlvdXErdVoRn12uSXKkUBZSZD2cXXMbiHZ8Bd4+NH7WV+9F1SSjTMaHF0lqyCXbGl17JCXEG0ADfD3M7X/ZiqVSbSKaPcjtHYxxmKTlJLn4EuDJzw8xyXorhEH61gb0dv4J+K4h3TMkLWmw1NxZHq2RoqLoEy5XKZWq9Hr9Wi1WlSrVXq9HkpllqSFbWgh0yk8v4cdGwo/9WG5UvZPlTmfMIyV4ZOf+BtmasepqSolUWL+9Fma3XUW1hcJ2yErnX38/G+9lxQDToSjMynWMwTn7VOevaPGMwBZZM6glChkmtl2tk2cbPZ45txrPE8I8QsAQohJIcQnhBAn8+eJfLsQQvyxEOKUEOJeIcSLnsoJlFJgLUmzzbmvnaCzvAb9iLKReInNIsNp1rHqNM2iyUmKyV0n0jQdFGnI2wNsRrmK7QNiJXOj9JxAJ7mcgqECEMJRSNcZuFAIR2UkWkk0mWbZyQsVrG6sk2qLMVByS9RKZTprGyhtido9TBjTWtmg6pcwAqIkRlsIU819x47hVio8OjfH8ZOnOP7gCfphRNWr0G92SHoBLhKTGCquz+TYJL5XxmiBUj5CCHq9HlprpqamqI+PZRrQnPBrLInRjyHBRVRvuNBJ0VEXS+jFEnhBhovrNWw3tEmSR8siXy8Ki0FhFb5XRbkeH/7Y5wiSMtJzqDQEfjlCyhC0wNo+pVKfNGkiZJjbFT6DepTnGkROAq3CaIUSIa5YwbcPEzbv4ZETn8ZEC9RLEeN1B1fDZK3BdHWM9blFDszMokKDG0PZKFwNaTei7lXxPY9dU9N045j1bo/TK0u0dELPEcQVn3tPfpX17gLIhEF0RpfRxKRoUiAWGT2OAccoPMBLO7jpEvQeYO3sP9Je/wwkHerlrCyj7zsIqcEm6HKXdtqi1W/TbK0SRkt0ew9h4z4+EpnqUe+wDUUf+slPfpK3vvWtfP7znx+Q46If/vjHP06/3x84Fw25twDZeFatVul2u4MxsPAEH8AqsJIkhY9+9HPMn1UEgUc/jJGeRUqBiKFScZiZ9lAECJFV4dwBMdanjZF84gpCp5mrQalUwvP7RLkloR6OAOeaKik25y8SBmbmOxTHgZ8VQnwC+HHgk9ba3xNC/Brwa8CvAt8LHM0fLwHenj8/IbTNNUtCZI/U0N1oZSWKxxt5NDJbnjd5meLCmq1IsCscKApiNkyKB0U7hhLstpPlbFFoE0aAKsieEgN7M/LjKsdBFEQzt3NzvDLr6010kFlazUxO0S6ViDUgHdAGX3nZbD9J8AQIpYiShHMLSxzeu4typcbK8iLXXXeU+XYPVzlEQSaPCIMA4/l4vo9E4UgXYcWWymJF+eKg0800Z1iEFReU8ZxvEjFcAGM4ARG2+klm123rcUZ4+kgjTTOM+Z23/Cmv/zffg1Jd5uYfpu7XUQ44jsfMrjEeXVhk327JuTWDzpNcRrjSuEA/XiS7kk2+LRatwYgeEIFe5syxs2A9dk3PMjNzANmtoGSdFx/ZTyf2cDo+YSJZXj3L/OmTCAWHj17HyqplcvdVpLEiVV327i9TtU1W5x/mK2dOYMQcylr0lmTYYOvdMvTGYDGIPMSWIulC2KVz9lFaC4/iOD6OqhAaAdYhRCDCNoiUGIOxEZEJsRgymr0dOysR60qikB29+tWv5gtf+AIHDx7kzjvv5OMf/zg/+IM/SKvVwhjDwsIChw8fJgxD3vOe93Dq1KlMsnfwIJ/97Gf5rd/6Le666y7Gx8d5+ctfnh18+B8sHKI45rd/5238my+8D+kGbLQepVQuUU2qjFUn6AYLOG7E3mmHxaYmti5GbyZ4P1MxIsVXGMaAUlkVMchVN1lZlwEhFgisEoOlZ9j8fIfCkBHjfcAPAS/Lt78LuIOMFP8Q8Fc2Y0d3CiHGhRB7rbULjz3cVgyImZTYNMsSClabpO0ebqIpl8tYR2CiBGsMUoisIIcFnepMRiElruNgkrx86DYHiWHXiS1JRHk0VcLAm1W6DnJYPkFemcfmeipr8ZVCOZJEpyBkpqN0pwiTJgdm9hL2+rj1GnEUUEGiTebUoHAYGxujpQ020UjhECeGM0ureJ7HLS98Ea6S3PHpTzGx+wBlmdC2Ed1Wm2p1giBO6YUR1lqq1TJpmtJNulRLPgEJcRTh+y6VapV+r5MlYGFRjsKaTZnEcGQY2EKEt08ghiv/DScgCiHQOSHPjrtzb+Cdjmw6ZzIVtwUjMg/goy+6nU984v/k8OEX0FtZplSX9Ho9rO6zd7rEr/3yj/Ef/stf0uxmyUs7zQ5phMfH4HdjDcZqpEhZWp5jfnkeqUoYW0dWdnH4+m/CGEOcSFw5gedNELfmECZiZrJKrzvHeKOC0JpO8zSxbbO4eBJLZ4s86mnD9EjDHqltgXDJlucl0obkVa1AJAiRe8NfnLM+K1H0sVNTUxw6dIirr76ahYUFpqenqdVq3HDDDTzyyCO88pWv5E1vehPWWhqNBr//+7/Pa1/7Wn7lV36FarVKGIa8/vWv5zd/8zc5evToZvU3S+6AlZdjFB5KKL75FT/KO//8d/mOb7uNtH+GMHqYcrlPpTLFUqvDL/38D/OffueviaLsENulGs80jEjxFYQUDu12j0rVpVrziKMYiUNikwEhVghSCbiSqdoY6+vr+L5P2A92sKQYD3gh8CVgd0F0rbULQoiZfJ99wNmhv5nLtz0hKYacxBaThFzzliQJYatDWToI5SKLqLAUWbU6u2m9JvJj6G2JdsNJQ8PRTiOyyYkqQqiFNCCPEEuZ+S/anK5Ya7FSZO9FFpVzlMIanRNPaExMEvX61GsNom6fbrOFVy3jSYXSAiUVxmaJE77vo00IJiuL6UqP9Y02Z+bmmZmexAqo+R4mNTT8Ms3WGmNTuymXyzS7PVKjcV0fY8C1ZiB3yMpe6qyEaBxkJFZc+J7aEi3fFhkurtuFOsTh5MYRni6yqniSFMiSTOM8F+EfP/cAr/rBb2Vm8mr6/UfBFYjIA6up+IaoCwKF8gznqZI7wg7DY39PRfpqgLZZFTWJxWoJVDC9Nc6e6jC56wCHDl9L1JqhfugwrVbEQ/fcAQQ49SrLto8JuplUI+0BKUqB0U+tWtzjE6DMKlJINovSWYkddMhZsGLg9Di6Hy+IYSnal7/8ZT73uc8NioEtLy/jOA4f+tCH0Fpz3XXXUa1WGR8f584770QIwQ033MCxY8col8ssLi4yPz/PS1/6UowxTE9Ps766lsXahAYsxmZ32kov5rVv/N/4w//7f+fbX3w1WpaIdEAJQcmRjNUEaZRVf1W+Io2f2X6bo0S7KwoX5SSMTyp832X+XEi1NEYvyKQAilzS5cBrf/nnmXVq/MEf/AFxPqsrzHx24C3YB15rrX2/EKJprR0vPhBCbFhrJ4QQHwF+11r7+Xz7J4E3W2u/sv1gQog3AG/I337Dls/IElGsBd+RpNpQqfhM7T+wSdC22UOZJB0sQwGPIXLDSWUFBtXecv2stRbpZnNKw1YvY+M7mT+vEFmFK0AKi7AGT0owKVYbbtmzj4bjscdx8KxhYXWZfsWnayyLQYpxSpQrdRJpSKKEEw88iNUG31o8Kak68LwjB2nUKxw5tJ+T9xxnvd2hMjbGuZUWS60uVjmM79rNRqtNtT6G67osdFo4jsR1XaIoouS7efuzDOZOp4MSlhLulgjxwOpuu6zEbL1WaZoOkjwKvXGxr9WGJEnZ2NggimKAY8A7rLV/JISYBN4DHAIeBV5jrd0Q2QH+CPi+/N76cWvtVx/vBny2J9pZJNJmBVQMkDrk3lVVMD0cC7/4U9/Pf/zVN7Kx8WWSRcNqd4F7H13BuEd502/+KSE9TPLMuEbP3kS7p4rcAWIYeT6vAaRSaOsBZXBLgEOjci1jYy61asLpR09i0j46TTEiRKcJypHoNN60z7qIV0NcIHKz5a240AdfNy5Zn3JRWvc0MYjs5vB9n/HxcbrdLr1eb0tOh1KKJEm2jG9FJNdxHCYnJ1leXs4iyL0AjdnMNLP53eZkrycnavzID3wT//U//gxp5xjLXztLJ21ztuVydqXKf/4//jvNuIXUz5hI8deXaCeEOCCE+LQQ4rgQ4oFLnUD13IJECIgizbd/+7fzoz/6Q4NljMKIRkmFPzbGF+/6Z1KjB8Rsh2PdWvv+/PWSEGIvQP68nG+fAw4M/c1+YP58B7PWvsNae+v2G3i4L5W2IL0QBBFxP8AVEnK5hDAZGUZv9VPddh6ALRm8hV2UyB8DqDzBbMiNQluzRettRaY1NiIjztqaAYEWStLpBzQmJrACqo0GaRxBqonDCFc5uUZZMT4+Tr1ex/FclOuRGEmUWk7PLTK/vEKUpMydW0CkCTaOsFGEQlOr+rjKEkcBSkDQ69BrdxB5JaMoigbfIYqiQURaSpm1eSg5o3jtOM7g/faObzgBb1iXLXINdZqmxHGMMZp6vY6bTSpuI9Of30imN/+ktfYo8Mn8PWzVn7+BTH/+nIYgi+inQmKERGqJTCUyBWmqGFvlD//yExy+7Ue4b/UIS2GHUFVItaK5fpY06iGj6Sv9NXYMztcf7EwM/eaGclULJ5wshyJAmg1ksoxKluh1/pH5+Y9x8uSnCYOz6KiF0n1EGuMgEKlF4GCMC9a9uM21TvZg+8PdfFh3aL+Lgmd1nzJMiAGiKGJpaYlerwds5sWkaUoUReftpyELXiwvZ8Nxr9fLCDEMVC1kC60oXUGZEq31iHf+988yc8O/5v+7w2fBzrBi97PQiTm7doJO2AL9RCsHOx9P5i5MgV+21n5VCFEHvnKpEqieayjhEBLT1Zbv+dF/ywc+8AFMLUb2sqIJUjmUqhU6UcQ33Xob17/wFiIdg9UMyvNe6S9xfiwNvf4Q8Drg9/Lnvxva/u+FEH9Ddn+0noyeGB77nZVSJEYTJrrIu2Px3DwHDhxAFcv6QBgnm0v9IpNfJDrdcpyiqEDxHrYmlRWyCIXaJMB5FFnls/NUiIEEoVDJZX7JltQapMzI+6PLK+ybnWV9aRnHGLrtNtWxOtJorMgqhXWDlFgkGG3Zu/8Qy4srRLpPr9/jqqPXsrCyRBiGXH/0EN9884185s47WTn3KNfd8gL+6V/uodKYYHH5HNXGJK5TwhiNRA2IbaVSwaJpjI8hVMbgG+NjRFGA7USDiEORnOc4zhatsLUWxabLRHGtCrP4gd1Pfh2LYidCCNrtDtbajhDikunPn3MQCcPJo81mj1fd/jq8OFtRGpuGbg9sRRBH7cyycITz+irveGxJMfEpCLPAq8o/DQAAIABJREFUIrEIA1KkyNQhBbTKjPwQca5DZ1jTgMhjZBfzCtiCaInzEKVLdKlHfcrFhTaarPcwBEFm0fdLv/Rmyho8D3ChXJFUyiW6XYmlf4Vb/PTwhJFia+1Csaxgre2wNYHqXflu7wJuz18PbjZr7Z3AeBEpHGErpAKsBA0f/NCHefVrXgMCTFkhaz6JSukELUgDjLKcfeTRLDPPvciz+YuPG4UQdwshvo+MDL9CCHESeEX+HuCjwMPAKeDPgH/39Z4sSTTIbEgoCqBIC8sLi4S9PlE/IIljXMfBGoPJo5hFFHg4eayYXWda20297MCizXW2lLgdTsgrSthm9m1biTRsWpEluRWOdhSnTp9BSIel5WV27dqFo7LIsM1JZxDGnD17ltXVVYSj2LV7hkhr6hNTbDTbJMbQ7gc8eOIUn7vj07z4+Tdzy/XXMT/3KC964S00qh67psYp+4p2a4Mw7FOtVqmUywgy95MwDEmShMRoYp3ilnwq9dqW4grD1ZKGq5LB5mSiIBbFZ8PbC9Jsc1P5KIqKa3eIC+jPgSfSn4+wHSLOiLHIvKJdxyeNoc8uIiZY61YJrUNswC3t0Cn1CBfGY5wMJZuRVy9/rZAiS/4VQiFoIKhhrAdCZbluKv9TZQde6pshwosIabJH0W6Rn3f4efhxETDqUy4usoTeraur1kJAlY3YJTRV1tsV+j0Hh8oVbOnFwVNar3i8m+1iJVA9lxDrEMeTpLHmfe9+L5++4/P8/Wc/wzve+na+9rWvsby6wtve/nY+dcen6fR7/O5/+W1IDeVqhSDKInA7NK5xbJvU4Tu375DP0H/26Z6o+P5KZvOFPJcLz3UJophSvnzkWhenXCrOPdAZD+uHC9I2TOKKfbCb2b9CCLTdtDVjiAA/3pBSkGKTH7viV0kSTWV8AtPaYGyswXIS4eYE1HEcVGoRWiCcTM5RHxsHJEtLS+weq6BQeWTb5eC+WYIgQEool0uEQY9qtcrixhJWGsrlMqm2lEolZJIRYshIbBAE1P36pl56KEJcvC8mEsPXYbsF2/C1K75D8XfGGBzX2xJlBt4H/KK1tv04S9jn++Axt/427flzE4PoX3Z/JolGCg8julnBjyRBWIO0uRD/mSEpvix4OlHiwW97aLXkiY43PNl+0ihyiwfnKIhsd8susd18I8RG9jcWrNnso7aQnCc5kjxlZ4Ers5I+6lMuImyRtVSsKuTDpyVzqgjC3HYCgX4K5bh3Kp40KRZC1BjdbBcVGo2NdVaaOBGsL6xxz1f+hbe97W0sLCyw3tzg8OHDfNfLXs6ucgWRSISQhP1n9vLE08X5um+9LWu5n6YgJWutNpOTk9lMNzUoxxsqMiFJ06KghNpSqjbbloUvjAGNyDzsU50n0GXLjUJYhFIgIM0N98VQ2Uo3/zk4IvvfoS0mlVibVRLq5lXzyrUqVqeE3S5REFB1fLqtLtIoPCpE3RRZSomdkNnZWdaWXcI0JrUljE5or8e8v3eMb//GW9m3aw8r55aQQbbkdWBijMVmj0i5eI7LRnMJVymmJuqDyG2SJEStPtZaQhtnUd5GBRMn6NzSTRiLY7L/gLWZI4c2BiM2i3IMR8YLMjyIsktJnOaG8iKzbgP+erv+PJ9kP2X9ubX2HcA78rbs0PniJYbNq39tWRqXuCLXIdpiJTuLKI48YC+OnriYKBYJvFo/fvrz9hWop3KeYWecJ/P3F9rn65kEFAm3O1xmMupTLiouMLMRQ9rmi58secXwpEixEMIlI8Sjm+0iwspsgFLGoerWaW00+e1f/U/851/6DZIgI777r76a/kabCmUCnd2Ez8mL9RRRRDcBwjAcLPn7vj+QARTJdMORz+KzYhtk5M71M8mKFcUAWAxsm+djG6EWdnPww+aJaENV3dI0RSQJURxTr5ZxyUomJ1FCaaIOcdZGrcBTHmEYIJSkXq/T73fpbIQ4UmKwSCXxSmVOnHoY94hganqGuYV5tHLwyi4TjQaLrYDYpDQmxymVSkxMTLG8vMzMzAxzc3OZtCS/TllCpwTHYmSCSU0WVNxuUzcUTd7+GFyHYQ/nfN/WRgshwBj7+0P/touuP3/Owaqc9ZpNYiwM2hZ6USdbPhcAeqQpBqy1XWvtg0/nGMOJp0VOwhOc88kQy2lgdfvfFee7Ehj6bo9p2w7AIaBi7ahPubTIl5eGJt3A+XXjz0A8ISkW2Yj258Dx0c128SHJvIjDTgcHiW73Mw82nUUflx5ZoKQFdVwiAgz5WFccYMubEQoMDzpF2UubexAPRzSL92KI7A1I4VAxigGtM3ktu1xDDCbTblAsZWbRU4QAIVBIBII0yZL8JHKgyzXagra0gpB6uYSjNVXl0eu0aIxLSklKuxfR832UdEkt2D5QgfpYg16njRUGJUq4jmR1YxkSuO/Uab7h6DUov4xOE3S3y1i1Rtrw6fRDlhYW+Imf+Alu+6Z/xVve8hZaG+sDmYPQCpTM7OYcgacUSgh6rQ7CWrzClSPVmUdz/r645rCVCBevBw4dWhMEIUEQFp/fnV/Z/0DWl/wPIcRPAWeAf51/9lEy66RTZPZJP3Hx7pRnGUS+fGmHdRGbg5XII8PPzTDEBfHgpbJ7ezoQQnx5J7YLdl7bhBDfDHwOuG/Up1xqnM83m2cND3kykeKXAq9ldLNdfJi8rHxe2lIIgUkFmCibe1nQcUAP6HGBRYxnyY14sTGs7ysIcGFDViTKFfsVKKKYw8S52Gc4iSx7FlhtQFqkyZYzzTDZzl3pjTDI3J2hKFRYnMdRLjZNaXY7eFgmJFTcEq5pI6OUmuPT7TaxjktqY6RTQgixqQV2HMJ+L9NTxynKSqIU1lptUqVojI+xvLyM7wja62vM7NtPyXNYnO/zpS98kV6vx/LSEv0goNHIrKRTm1XOM8ZQ9ivZtbC5pZxOUXlk2gwtlw0v6Q4v7V4IpZLP7P69LC+tkMTJC7Z9fMn05yOMMMKzEzbzu79QxzPqU0Z40nhCUnyZbrYu8LSWry4hLtsy0VPUau3E5asCV13pBkgpB7q+gqyFYYhSilKphO/7eYRzU+86rH0dThZTSmF0kTimskp1RhOnMUJYlOvkkWWRVSEUQ1ZENktTcIREp1k1OyUkUioc69JP+ix1+kRRxOTefdRdn5IR0Ouxb6zB+uoyQntoDTq1aJngV2vU63V8d5bTjzyEV/KIwj6OUyZ1PKIk4ssPnuDlt95KtVTjgXvuZmJ6ko3F00TAeLXEmYdP8sjJEyi/xFi1SqfbRrhelq2uJDguzVaLSqVCpVzGLZdwPE0cJ8AQ8dUm01SzNSo8vLw7fF8Pu3XIJyDPI4wwwggjjHA5sVPKPO/I5SvYectEBXZqu3YKCkK8fZIRBAFRFDEzM5N56Qq2RDmHyXCROGOtxVXZvgNXBpnrllVWYCVzpNBbjpWdPzuvFYARSJ2VftZo0jhECpd2HGSWZ34ZG2uOzF7FybOnmTrYYGqixkakSbUFT6EchbKGfrdHo9FgYmKCbreN55WQUUCkLUZKFlptTj16hoZU3Hz0KEury6g0olJymZ2Yptfrc+LUKaqNMRqz++jHMdJxsEISG4syGr9cIk4TRCwRvksaW+JQ40iJi8r00dqQ2nRLNH07CR5+3rLPJb0D6BpjnvMT7aeIndouuLQT7XdcwmM/HezUdsHObtulwih499SxU9sFF+hTdgopHmGEywKRV1fr9/vUajUcb7OU8fmW/oezxAVDkoqBFdnmvlKI3Jkmixhba7PXNifQFkx+fmstJaeKtik4hsgaelFELTZMjE8SBQHCaMplHxX2SVON4wp0HCGVSxj0qFUqlMtlkiSh120j4gTpeQjlEOqQtfV1QmP5xmuO0Ot2kGWf5W4LoQ3CWibHx8Fx6ff7yHxyYGymWtfWoKSDtQIrBV7Jx3Vdwl4fnUtBVEGEh5INB5H1bTrj7QlCFyPj/wkwmmg/RezUdl1q5EnfOw47tV2ws9t2CTHqU54idmq7Hg8jl8oRnlMoCku0Wi3a7fbAS7eQWxQFPYb3L3S8cRyTRNkjjmPcPELMNseFwgNfWJE9G7CpQdgs0c5qi0kNvvTASgILi+0OD55+FGMLCYIFkeKXHcqASmMcbdBBQNrv4wEbK2v4rsdEYwydpNTKpcxT2VEkwrLWbhPGCbO7Z3nRzc/nmquPMDHeYH1lEdKEmclxrE7pNDfo9/v0gj5RkqBcB8crkaYpqdEYLG6lRH1yHL9aQbnOIBIvCz/l3M7ODDlYnO+x3Y1ihBFGGGGEEXYKdkqkeCfPOndq23Zqu3Y0hpPvwjAcJN4VRHg40jm8b0HmBvsNEefCjs0WKf1myJKsMMs3FivtwO9XGEsURGhpSd3M6zg2FuW5RFFEpVKiH4X0oh6+cgilApPm2uQUIRRRmlCKPQAqlRp+qolFihEGoSTaWjbWm4S9PosrizzUWyAkwvM8ev0O5UqN8fFxmu0OIZvyEW0tQuvMxtZmUpQwDLHWUqlVCXt94n605fsPy0aGvYm3Pw9XvhM7tUj5CCOMMMIIz0nsiEjxTl6K2alt26nt2snwPA+t9cBrM45jVldXaTabWbU1x8F13S0kGTIirYRADduMkRM9bQYRZqsNVptNz9Lh1/lxbLqZ/NdttYmiiCCMEY5LGCVEScrq+hozMzM0202CJKTku5QcBxOnlF2PNE4Ie32qpTI2zbxmrz1yDaQpOkkHHsJRlOB5Hvfff4wDs/uIoohOp8OeXdNYbVg4N8/G2iq1WmVAZgeyh5yvZoVKJFZkpavHx8epVCqZA0VRijoIHlMWWyl13sdw1PgSc+Kd/PvYqW3bqe26JBBCfI8Q4kEhxCkhxK9dgfO/UwixLIS4f2jbpBDiE0KIk/nzRL5dCCH+OG/rvUKIF13Cdh0QQnxaCHFcCPGAEOIXdkrbrjB28u9jp7Ztp7brghA7vDLNCCNsgbgEhV4cRzI5OUmtVssKYUhJajcjxULKAX9TudOCBawUm9vksN6YQVEEk9eeLqQFNt2MouIoZAolLXAQWBOzZ3eDfTMTzFYclh99iKrVnGScWEkeaTaJhUCqEjpM8aWH8lyU4+DWypTKkoWz5yDV1JHQ7VH1Pdy4zwtveR67J+pEccCxVotOHBFrw0Kzh/A8UuGSGrCppuJn0efG+ARSKfo6wbgSCzQaDawxrM0tkPRDnNSSBP3sOqksCpxasyWJbpj7esoZkOdzc/NEYTQKF49w2SGEUMAJ4BVkBafuAn7EWnvsMrbhW8mSt/7KWntTvu0twLq19vdyoj5hrf1VIcT3AT9HZnf6EuCPrLUvuUTt2gvstdZ+VQhRB74C3A78+JVu2wgjXGpc8UjxlZyt79SZen6+0Wz9MkApgdaGTqczqGQ3LAcoIpzD0glgQHKBLXrZ4rMLPYYhhMjcLwRoLAbL2toaQRAghKBUKtGo1fGkwBVQch1KrkfYDyiXy1vszbTWlEqlQTTcCAiSlMRoelHMmfl53EqJXTMzVMo+Fb9EtVLBcxUYi0kTpAVHqUwjjCCMIoIgQGuNXyrhlnyCOAIhKFUqWClIdJpF1p1MU5xa84Sa4SKaPJJPjHAF8WLglLX2YWttDPwN8EOXswHW2s8C69s2/xDwrvz1u8jIaLH9r2yGO4HxnLxeinYtWGu/mr/uAMeBfTuhbSOMcKlxRUlxPlt/G/C9wI3AjwghbryMTfhL4Hu2bfs14JPW2qPAJ/P3kLXxaP54A/D2S9y2FPhla+0NwG3Az+bXZqe071kBYyxCQBBErK+vE0XRQEZQEN80TbckiRWkrygCUhQFgc0Kb8NJZ9sJcXGMBEOKJbaaxGhio2l3e2y0OvTbPQ4fPExrtY3ptYla6+yq1/BJmahXUDbFdSCKenTDNlEa0Gy3OXLdUWYPHqATRrjVMn2tces1ziwtsdzqEEmFm2qmanU8bdg9McVYtcJEvcGeXdNMjI2jY00UxPTCgChNSI0mjuNMWxxH9KMQr1KiXK8RoJG+i3AUZsjezlFq8FBKIfPHlutyiUzZRsviF2zXaKK9iX3A2aH3c/m2K43dNq8Amz/P5NuvSHuFEIeAFwJf2mltu5wY9SkXbNezrk+50pHiKzpb36kz9bxto9n6ZUDmmiaQEsIwJAgyz+BCX1xojLdHeYe1scPkdxjDBHr4uYjuCiWxMkuyE45CKhfHc+n3Q3q9AEe6BEGAshbHGBw0npSUHInRCdZm5D01mkSn9Pt9fN+nWq+RCguei5EKWfKyYhzdHhudLkkY4GDxXY9aqYQvHcJ+kCXQBSGYTWu6rJJdRoqTvFR1ajTCUZTrVZTvYQrP4VxqMnxNtj82r7u9JNUYd8BEG3buZHs00d7E+ZYpdrKW8LK3VwhRA94H/KK1tv14u55n206+lk8Joz7lcfGs61OuNCneiTPMHTcbHs3WLy20tlgLaWrY2GjS7Xbp9/vEcUyapluKegCbpDaXV/h+5uFrjCFJksdElYeJsJRykHCWJFkUNs0jxlqC8kssrqyyttFicWGF8fokuxoVdk+OkfS7TDQqdDstXEcQRwGu71AqefTCHsYYzp5bIEhS3GqVVhzhTTToJCmhlJw4c5Z/OXacmUaDc6ceIum0aa+uQhxzaP9+pBAoIZmenmasXsf3fbTWdLvdzIM51URRRBiGaAHGVVjfIUITC4N1ZEbupcSVClduRolVTvxd1x18/0uE0bL4hds1mmhvYg44MPR+PzB/hdoyjKXiGufPy/n2y9peIYRLRoj/2lr7/p3UtiuAUZ9y4XY96/qUK02Kn0kzzCvS1tFs/fJgEOS1sLy0Qr/fByBN04EkoiC0BS4UIR4m0cP65GHbt8zn16CEzG3QIDGamT176QYBu/fOcuToNdx4083/f3v39it5dhV2/Lv23r9LXc7p7unL3IwnNhkbDAYLEYJCHlCiKIQXkgckEwkshESkwB9AeCEvkfySi6IkSESxQl5Afgp+sIQiXpIoiQIoxNiE8Yzn2pfp27nW5XfZlzzs369Odc80Y+zuPqe710cqnXPqVJ3a9eupmvVbtfZanN89R2ENOzsz5tMZs3qyCcbHNYz1xHfv3s0t3WYzVl3L3tExx22LJ3F7b5/D5Yrd6RQhsjo+QmJicXyMiNA0DTFGyrKkqCr6voeYmE2mLI+OWS6X1GWFiLBq1nnanbNUsylm6NiRUsr3u08c/uvs+/7kmD2akuKzenJ4pk5m9USbPwReFZFPiEgJfB74yimvCfIavjB8/wXg97au/4Xh4+cfBw7Hf7OHTfLHRP8B+H8ppX9xltZ2Ss7q6+BMvW6flveU0w6Kz+IZ5pk5G9az9dNhnWF5vKAoCs6fP79p1zYGfcCmhdl2/fFobE8GOXAeB12MJQljoOzE4GTYpGcM0TrevHqNyy+9yBvvvksbhfduvE81KdnZndO2Le/fusH5i88hWBCLiCVFSwyGft1RWkfTNBT1BFPUrLyHoiK6EqknLJqe1Dd86hOvMC0L5rOK8zs7XL96jQT4GLh++zb7iwWx68EHKuuobEEllsO7e7gkzGYzJtMpO+fP0aZAdAYp8oY75xzEtOnXvDlJeDznaE/ayaF+LH4KUkoe+FXg98nZrS+nlL7xONcgIr8D/E/g0yJyVUR+Cfgi8HdE5HVyZ4wvDjf/KvAm8Abw74F//AiX9hPAzwN/S0T+ZLj89BlZ22l40l4H+p7yXTjt4R2bs3XgGvls/R+e7pI2Z8Nf5INnw78qIr9LbjvzSM+Gv42z9VNd39MshAhWeO+999jd3eXS5cukrbHFIpJLKbZe3vdni9u23UzLc0VxT0eGMUiskkFIIJaIgAhdiCz7QFc6buzt4WzBt955i2VKHIfE4bphGSpEHOAQhlKNmCidwZYF3ifKSU09m+LEIH1L33dMXA0x8Nqf/xmf/Wt/HSlL/sc3vomd7ZDEMp2fow+Rw6MFxhgmtqDve8K6paxKGMogCufo245qOmG6M+fg9i1ICSsWxs12w3M1CYKc9D1+DM7qyeFNEXkxpXTjrH4sftpre9xSSl8lB3Sn9fg/94Bf/e0PuW0CfuXRrmjzWP+dB3+Oc6prOyVn9XVwJl63T9t7yqlmik/7bP0Mn6mDnq2fniG+DZ1nuVzeU0M8llCMmePtVmyQA8IPG2m8fZuRkHsabwbhCdiioA2RPibuHhzSE1l2HatmTbRCNZ1tBmfkv2vyBbvJzIoIZVly/sJFkhHWTa6NDiEg1nJ4eEjf9+zu7lJWeTNhSJFVs6btOmxZYAqHQfLf9AGGSXzTekJp81hnI0JRFMNwj9xWbiwRMSKY+2qqMY8lMtaPxR9APxZX6jui7ykP8DS+p+jwDvVEkUcwvOPeBwBXWLwPiDOkEHFVycdefnkT8DrniCmPZIY8Bjmkk/piK4bK5d81TUMceggDhK7P/Xy9p5SEYIg4IkIjkaY94sq5XeTW+/zwJz7J90znvHV4jXWK3MHSiuX6+4ecP3eR5B2UFdEIvQjTsKYNHlfVVPMdIglJcPfae0ysJS4WTCcVFw/e5zM/8mkuvfQxbneJW0fH3Fz2XNs/JIllvnOOvu+ZtJ6277BFQVGVdCnQEXF1xc7FC7TRk6zheH+PZrWmClDbgrhYUwyp4Sg5UxxMzha7NmwO9fVrNx7J8I7h5PFfkQdVfyml9M8e9mN8xOP/DvCTwCXgJvAbwH8Gvgx8HHgX+NmU0t7wP5V/Q95ZvgJ+MaX0R49oXX8T+G/AnwJjK5BfJ9cAnuralDrL9D3lget66t5TNChWT5RHHhTDB7K7IsKLL7+QxxsPG9vGgDhu9SDugj/ZqGZyT96u64ghUJblZiz0mEXupcUEIbZCEoNHqKeW2DdM2yXnSsvf+IEf5PrBDW4fHrF0E5Yebi17cAXWVNB3uJSYlgXLPm98c2UBpePChQt473nn9W9RYCijYIBz3RJH5JMff5kf+aFP88d//IdEW3KzSdxd9dhLH6PHEZo7mw2GYza5l4Rxjulz5+hSIBUW5wPr5ZLF3QOMCFNxuDiUUcSTGuyUEsmcZM+vv3tNJ9oppZQ6M057o51SZ9b2prq7d+9y+/ZtiqKgrutNq7ZxI11KaVNWsX3fseRiu5xie/PdWO4gQ7/kTU9fEl3vWbfNppuDM5ZJVTGfzrAIcl9Xi9lkiohsegrPd3eZTCa533JdITbf7jh42pR45/pVSIbv//RniF1PYRKT0iLSY93J5sGx1dw4xCTGuJl051wOvs+dOwfmZP3+vg2I4zq3u3E8qvYTSiml1HdCg2Kl/gJjENc0DUdHR5sBFtuDKMZgdzsoHu/7oLrik44M2/L0vBgjMUDTedZtT13XTKt6uEm+n9kKoEMI9H2fB31Yuxn1fHBwMLQ+k03JRuc9ZjohOkMTI3f27lKWJXVVUFlDVRj6fk3bLe4J5rc7R4ydN1JKRB822eSxzjrywbHW28dBKaWUOos0KFYPhTx43OM/FZFr920WHO/zTySPe3xNRP7u6a3+wcbgzlpL8JE7d+6wXC7zBjM46TDh3AeCXmATLI5B5HbGOCTZyqTmFm3WWowrsFVFSLDucwmCMxa/bvFtl1ulDS3PZvWE+XzObGfOdDq9Zw2r1Yq277n0/BVs4RBrcGXBsipYGCHVU7729T/j1o1bvHDhEpWBaQGhO6Tt7pKEnF0eNsiNQzeKoiDFSPQB7z137tzBxzhs3KvuCYbDECD7FPEpbp57vo2WbimllDo7NChWD8uDxj0C/MuU0ueGy1cBht99HvgBctH9v5M8TvPM2A7ufB9wheVg/5C333oH731uVxZONo51Xcd6vb4nMN0umdge4nEy0U1AIgYQ4qb3sY/Cqk8cNz11VTGpagoxFElwEc7VUyau3GRxW5+HYoQul1pMJhNCijRdy8XLl3K22BpcXbEyhqYoOOg6DlZr3nj7HV555RWmtWNSCoQVfn1I7z299yelEMCkqqnrOq+x7diZzvAx10xX00l+RtaCNTAch8BJmcn28BOllFLqLNGgWD0U6cHjHh/kZ4DfTSm1KaW3yK3kfuzRr/Sj3f/R/8j3gXpS4Yrc1sw5t8kYj2UVZVkC3JMRHTPEMebyiLZtWa/XJPLvnXOb+42P34dEWU+5c3DEfDJlZzbLAWlZsTubM5tMKYpik3n2IWxqjMeAves6Dg8P8d4jLo9Z7nwP1mCsw1Y12IpV5zlYLHnu0hXW6zXn53PmdUUfw6YsJAxBfVVVGJO7axRFQbNe5wEnQzu26Xy2eb7b45xjSiRyfbK19oHHWCmllDotGhSrh07uHfcIeajI10TkSyJyYbjuzI973GZdfqnkDWe5XnespR1HLG8Hgvf05+XeQPv+3r0SEyl4hJiHhIhFigJb1kg5zS3eihJ8oDSWIgntcsXudIZzDu89PuVgsygKyrJkOp0ym824dOUyIaX8ONbgqhL6RIwGH3JPnCPg/7z+BucuX+aVT3wvRRKuzHeZzKabnsXz+ZzJZELTNPiuAyCGwOLomP3DA/b29iiqkvl8TkiRtu9o+o4QIwz9jIui2NQ/a42xUkqps0aDYvVQyQfHPf4m8L3A54AbwD8fb/ohd//Q1KGI/LKI/JGInFo/wzGACyEiAslHbt26xd7e3qY7xP0B8Nid4v4x0CcBYR66Md4O2AzZ8CHR9oGm7YkhYBGSD3ljmw80qzVN0wBgipyxHh9LElRVxc653H2ink6YzGbEYdSyC2bodmHxxtBjuLNY0Cfh0uUXoI+4kDPEaZhQN5Y93F8rXZYlMcacgYYHlkdsd5042aSoQbFSSqmzQ4Ni9dDIh4x7TCndTCmFlFIkT9obSyS+7XGPKaXfSin9aErpRx/d6v9im9rhoXUaBpaLBUdHR3Rdt+k8sd2mzXu/uWzXFI8lCUkYyio8IfZApCiK/HfE0IfI8bqjbVvKomBnOsMmmNUTXBIO9w8ZKXKBAAATLklEQVQ2rdHavsMgHyjROD4+JqTIfD5nsV5xeHTETrTMTEXpKkJR0VQlezHyjTffpY2Wc9PncJ2jqCpcWWILB9aQjJyURMS8AdAiyPDc27alj3lQSVEU2MIRBXyKtL6n6btN0Jxb2sUHH3CllFLqMdOgWD0UDxr3KHnu+egfAF8fvv8K8HkRqUTkE8CrwP9+XOv9Tsjwaokh5dk9InSrhqtXr3L37t1Npvb+8ont2mLgA78fA2mT7u1rnMSSknBwd4+maZjP55gE53Z3aduWuqrw3rNer4kxslwusWI20/OOjo5YtQ03btxg3TZMJpOc4Y1gY85TRxF6hMOm482r1/i/X/86n/rkq1w699xJ27WhL3HTNBwcHLBYLDZdKMb1z2YziqpiPp9z6dIlQoof2pYthLCpr1ZKKaXOEvfRN1Hq2/ITwM8DfyoifzJc9+vAz4nI58ilEW8D/wggpfQNEfky8GfkzhW/klIKH/irZ8QHVpbAiiGRkD5xcGuPia147sIFDlZHeXPaEFQCFEPNcdd1m8Cw6HJgGMcMM5B8fiDrHOXU0YfAPlPqKERpsHVPk5aYnYp+MqHvAJ9wJuCKiqKqWbcdtirw1hJDpHYF0VjK6YyYhM4UhJDLMlxKTFxF6RJFTBwfHFPNap7/+EtcfOsa+8cHuLriqG+Z7exwsOqwIsTowUcEqF1NmWrohSZ4qp0dYlliYiLEBklQlDZPt+tzFl2GY6iUUkqdFTrmWT1RHseY52/X2EVhzHyOm9um5+e548PQw3g0doYYs6RmawTy9t+M8d5+vlf8kucvP8eVyxe4cfsOB7FgdvlFXru+R5JIZQXfLShDha1LVr6DSckidDk7nKCwjn65pm9awrrNGwNFkNBhQsISKAFD4mMvPM/lixe5erjk5s2bmLqklYgpHKsQiCkBOdtdFAVS1FhrsTaveTqruf7Oe4TeQ9diENwQAYs/ORbvX79J2+qYZ6WUUmeDZoqV+g6Nwe1YJtC2LSJCvTPBDiONhRzojmOhc4b0w+P67bHK2+UVbd+xbjvqySRvbFsFCuswBkI6uW+uX5bN45Q2d6YojN1slvMieSjHdmcMgRgixjmswM3bt6iqivM7M7r1jEXXYxGCD1gRRCwYO/wNuzkpGGumx3HQgeFxkNxVAzBitsoqzsz5jVJKKaU1xUp9p7Y7KhhjCCHQdR0HBwebDWmbYRxD7+DxPmNpxf2Xtm2Htm9+c7+2T6yaFjBMJhNSDFx99x0k5aEfMUbKsqSoq3sm6BETJuVBHrPZjHMXzjOZzzYdI7zvTjpLGEsQg60q9g4WXLt5i11n+d6XX6JKAboev1rjEAprmdQzppMdrJ3QNy2r4wWQJ+CVVUVRlZuNhM65vBbycdp+/koppdRZoUGxUt+lMUu6vSmt67pNJtZ7v7ntR/XnHYPF7fIJMZYkOdtsrcUiQIR40umiaRrEmk2AboeR0VZy+7Ux+LWF26wDIGGIAkVVElLERzDO0nQ968WCeV0zq0qmZUFVFMN4aSH6/LhGBGfsJvi1dsggu/w1DesBclu5rV7N2pJNKaXUWaJBsVLfpe1exH3f061ajvYP6JsW2WpdZlIODJ0Y3FYZwRhMb/c1vqczhSkIMY9LrqoKwWNioO9WED3WCru7u/QxwFbQXYihdI6+72lWKzrfU01qRBIh9kQSWENMibbziHU03uPqKX0S3v7WmxweHPCZ7/t+jg4O2ZnNc7Y3QdM0LI9XNOuO2XTK+d1zJ90qBGbzOfU0d7vwXY/ERDHUV1trKcsSMRoUK6WUOjs0KFbqYUtwfHjErfdvsjxekELcDN3wXY/v+vzzEABvZ5rH0c1j6QSAT4ajVcPh4TF1UeIMGIk4OaklXi0bfAiENATVMeUMccglFmNvZDN2utgKyANCxLDuetrO48XQxcTxes3b77yLWMdnf/hzXLp0abOhriocRWGJoWe9WNJ3HXVd542G8xnTnTlFXdH3fW5BB3RNu8kUj6UkSiml1FmhQbFSj0CM0LY9TdNsSinGDWljnfH9fXxHY4YYclbVlRWQ27k55zb9hq0ZSiNipO9z5jcHuVu9gdNJ7XPYmpwHeZvbOLEuCfQhDRv3DDEJRVnThsib777HZDZjNt8hDcldY8AZwcpQU53yk/bec7xY4GOgH4aIiAhVUVKYk84aRVEgWj6hlFLqDNGgWKlHwDmDMbBcLjk4ONiMgh7ra7dtd5q4v/OEc444bIK7e/cuBwd7PHfhPNO6oi4cxg5BtADWwFBXTBrKNqzFGTtkeC3GWcScbA4UEcTmumLjCjCOIIZoLAufWAV47c236ULA1iWT2RRb5gwxqadwib7NU/eapqFtW8LYts2ae4aZBO+pqoo4BPGbKYFKKaXUGaBBsVKPwJjpDSHXGa/X603vYmPMZtzxdgA8Bo/j1+1aYxGhaRqOj48py5KqKDYdLrY3uY33Hdfg227TyWL78cZg+mTj3/A3ho14xhiMs3TBI85y49Zt7u4fMhnbwkVPCD0pBaqqonTFZsT02Lu5LMuTYHzIWIcQ6Puew8NDDYqVUkqdKRoUK/UIhJAYKxW8jywWK46OFoChLGvA0AVP63tijJtJd7m7Q25fJgma1ZpgLWYyZW1nXD/q2Nm9gE2Rol+yW1qi78FVFLjNxYnDisMYRwpgkoUABY7OQCwsFEJKgRQ8hUmk1BPoCS4QXGA1KVg4oa8s773/Hm+9+y1i7Knqgp2LFyh2dmnKmnVtOJCevjB4A9PplMI5CmOxdYlUBWFW4s7PCX1k784+i6Plaf7zKKWUUh+gwzuUegxCCLRtS9d1lGW5yf5+lHHT3WK9xvQrkm+JMVLXNWa5xjlHXZR4TmqWI3lktBHwKWJMzkrf09kCcomFSB5VvckaA8Nwj6qqNpnfEAKxbTk6OmK6s8MLL7xIH+DazVu4ssQ5hyvtJltcF+VJF4yiYLVacri3jwu5G8Z23bRSSil1FmhQrNRjMG6wu3PnDhcuXMhDOBJITJsewiklxJq8TU7AWIszxVAiUbG7M6FbHbN/94CPvfxx9g5XLDuPQ+h6j3eWpmsBqGdTXFUgKVJUFWINWCFVuUwixYiQEHKpgx3GNm/idHPS2i2EkGubY+T46Ij1usEjTKa7vHDlea6/fwPvPVXpIOVJeuvjBZOiZFrVtOs1sc/jrff39zeBuVJKKXWWaFCs1GNSFAVd13F0dERZljhrwLLZjBZjJG6PYBYhAl4SEPEx4SPcvnWXT736fbz0wjHfunqD5APzYoK5cA7b5Wz02veEaHBViTfgCoura7AGWziiDySJGHKpBiFniy3kNZA3/Tnn8H3I3SUS9L2n7zzr965RTo94+eOvcPnipRwUVwVt27JT1vyV519iWk+4df4Cb3zzdd58988BsOQaY60nVkopddZoTbFSj8HYT1hE6LqOxWIYizxkTK21YM1m49y4YS6mhC0cYgwhCbYo6UNgtVozm+1QFEUeCGIFKQ31rKacViQHprIYJ4TkiRKxtcMWJx0qtjf4ba/TDFUNIYR7ssUxxjyxDjg8POTOzVvs3b5Du1oTuh6H4BBSH8AH1scLjg+PONjbhwQXnruwyZgrpZRSZ41oXZ96kojIU/Mf7PMvXmF3dzf3MXY5eypjMDz0D44xEqxgE0wjFDHhQuCll17iBz/7w3zt9ddw9YSLV57nT/evc3x8TB88RVky293Be0+XAjs7O+yeO8d6veb9b76BCXlDnw0Jm0B8JG0NEUlAl4bgNQXEh5NuGCJEY0FyC7flesV0OuXK5YsYY5hWJSbB22+/zfW33t48X1MIsb33ny+lpHUUSimlzgQtn1DqlBwfHgGws7NDHwNlWdL1PclI3iU3FBeLyDASOZEQYoLlqmHVdSRraPqOg8UhIUXKusIGR4iRtm2xhaMwxZBpjpvhG1FOPiZKKcHWhLv8qCdt5Uw8CWSLogCEIIaEJYlQWIck6JsWK4bj9Zo3Xvsm7XJFOamw1rJerIj9U3M+o5RS6imkQbFSp2S1ysMuiqLImeKhppixG8TQKzhKQlL+mZAwAgfLNa9ffQ+pa1rfcufO+/hpwXw+ByMs12tCiqzXS+qdGb1vaZqhf7EIiUhKEdKmVgIT02bG3DhIhJjrmV2+EpvII6KjJ6ZEP6wn9Z79m7dpVmsWB/vszndw1YT1ekWXAIFqWtIuusd9mJVSSqlvi5ZPqCfK01Q+URRDyYQ1XHr+CtPZDC955HIaa36tIZBwSaiiYJNBQqKqKlqJTC7tMj2/y6pfc7zMgTCAKwuMcySBoq7ofE9RFIQYWd68S+x6og+4PuIQTB+RELcCYegKgZhIoccBVsyQPRZChBQtHsGniBNDu1ywXCzw7XoTXEcBMUIY32fivcdAyyeUUkqdFZopVuqUeB8QgRAiR0dHTKZTjDW5z3DKwbHJfdtIMvQaJldWRPIY5f3jI8ysppjU7DrL0fExKSWcM0SJuMIhkjAkisJio7CEk9rhlEDknhZp4/XWliCJmALjJBLf9ZAbuZEQEEO3blj2Pc3iGELEADv1jC54Vn1LDAnsYz+8Siml1F+Kdp9Q6pSItWDyZb1qefutd0hdpJaSWTGhpmAiJU4cxhiSM0Sb6PActIvcVaLr2bt5m8ILuzvnmdYzrDjadUe7aOiWLS4Ipk/81e/5JJ/91A9gu4D1W5vsQiJ4n0s3rIHCkgpLGaDC4JIleAhRmO6cw1U1GKGsDM54ju7eYn20T4qeJJEgwn6zZNm3bNL6YbgopZRSZ5RmipU6JR9WurRer6nrmsTJ0AwYWrclSJJLEqyxOaMcI3jPcrmkkjyIoygK/Hpo/9a0hMkkT74rSy6cP7/JCuevD65G6ft+s0bncmB+eHi4aePWti3LpY5rVkop9XTQmmL1RHmaaor5kGranecucPHiRebndkkp0bYt3uWnbBOkEEkhUhQFfQp4ElEgxMjFy5eY7syx1uaAdb3KdcQpUdc1RVFQVCU333yX4D3JB6QPSAJ82IxeTikRYtx0nRjHQ4/9k53Lo5qPj4/Z3zv4i+Lqj6Q1xUoppc4KzRQrdYYsl0tCyO3ZJvMZy+USKfLLNMU4bMLLNcUpJawxGIGQAqvFktB7ptMp9aSmaZq8Uc573NTQrFYc7O3lMcsxbYLZlNI9LdjiVr2xMXlzXd/3lGVJSon1es3R0RFt257SUVJKKaUePs0UqyfK05QpHssYtnOlriyJMTLf3eHKlStMp1OWdHlwxjBAQ7YCVhlGQYsItnB47ynLkucuX9r8vveeoijYPzxgsVgQmw6D5A0FPgfI20GxH6bXuWHUc950lztl3LlzhxACfe8xRrDW0rf+Oz4GmilWSil1VmhQrJ4oT1NQbJCc+R1fg2N4aC0Mo5C//4c+i9mp6LqO9XpNVVV0TZvreoe/AWzat40jmyNgC7cpe4hyUgaxOjymdC4HxiGRYqQwlqZpCCSscwQSU1vgvSelRNM0HB8fs1qtP/hE4gev+nZpUKyUUuqs0O4TSp2iDw3xQ8iBsTEc7O1vAttxoEZIMQfBw8UguCT31ASPmeW+7+n7nth7vM8XMzyupByHm3TShg1OMtjr9Rprcy+1O3fusF5/SECslFJKPSW0plipUzamSoe5GABYyQMvbly/jp8Ydi+cxxQOjKGaTkg+YBLYJNhh0lwnssnsJhE6328C58BJ0GuTYCMYI0hKhJQIvSeEANaQjGCSwVibN9Pt7286ToTwXaSFlVJKqTNMyyfUE0VEjoHXTnsdp+QScOe0F/EQvZJSunzai1BKKaVAM8XqyfNaSulHT3sRp0FE/uhZfe5KKaXUo6Y1xUoppZRS6pmnQbFSSimllHrmaVCsnjS/ddoLOEXP8nNXSimlHindaKeUUkoppZ55milWSimllFLPPA2K1RNBRH5KRF4TkTdE5NdOez2Pgoh8SURuicjXt657TkT+i4i8Pny9MFwvIvKvh+PxNRH5kdNbuVJKKfXk06BYnXkiYoF/C/w94DPAz4nIZ053VY/EfwR+6r7rfg34g5TSq8AfDD9DPhavDpdfBn7zMa1RKaWUeippUKyeBD8GvJFSejOl1AG/C/zMKa/poUsp/Vdg776rfwb47eH73wb+/tb1/yll/ws4LyIvPp6VKqWUUk8fDYrVk+Bl4L2tn68O1z0Lnk8p3QAYvl4Zrn+Wj4lSSin10GlQrJ4E8iHXPettU/SYKKWUUg+RBsXqSXAV+J6tnz8GXD+ltTxuN8eyiOHrreH6Z/mYKKWUUg+dBsXqSfCHwKsi8gkRKYHPA1855TU9Ll8BvjB8/wXg97au/4WhC8WPA4djmYVSSiml/vLcaS9AqY+SUvIi8qvA7wMW+FJK6RunvKyHTkR+B/hJ4JKIXAV+A/gi8GUR+SXgXeBnh5t/Ffhp4A1gBfziY1+wUkop9RTRiXZKKaWUUuqZp+UTSimllFLqmadBsVJKKaWUeuZpUKyUUkoppZ55GhQrpZRSSqlnngbFSimllFLqmadBsVJKKaWUeuZpUKyUUkoppZ55GhQrpZRSSqln3v8HQL3zNB9+U0gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x864 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def draw_image5(img_indexes):\n",
    "    print(img_indexes)\n",
    "    w=10\n",
    "    h=10\n",
    "    fig=plt.figure(figsize=(12, 12))\n",
    "    columns = 5\n",
    "    rows = 1\n",
    "    for i in range(1, columns*rows +1):\n",
    "        print('image index : ' + str(img_indexes[0][i-1]))\n",
    "        print('image distance : ' + str(img_indexes[1][i-1]))\n",
    "        \n",
    "        print('image file : ' + filenames[img_indexes[0][i-1]])\n",
    "        p_img = Image.open(filenames[img_indexes[0]][i-1])\n",
    "        img =  np.array(p_img) \n",
    "        fig.add_subplot(rows, columns, i)\n",
    "        plt.imshow(img)\n",
    "    plt.show()\n",
    "    \n",
    "draw_image5(search_result[0])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
